FreeCourseSite com Udemy Deep Learning Masterclass with TensorFlow Over 20 Projects

FreeCourseSite com Udemy Deep Learning Masterclass with TensorFlow Over 20 Projects

Name	[FreeCourseSite.com] Udemy - Deep Learning Masterclass with TensorFlow 2 Over 20 Projects	DOWNLOAD Copy Link
Total Size	49.3 GB
Total Files	633
Hash	0C4083EA6F1C39393F0600AAC60FC70588E46286

/0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/1 - Introduction/
1 - Welcome English.vtt	3.2 KB
1 - Welcome.mp4	34.9 MB
2 - General Introduction English.vtt	30.3 KB
2 - General Introduction.mp4	227.4 MB
3 - Link to Code.html	0.4 KB
/10 - Tensorboard integration/
48 - Data logging English.vtt	40.0 KB
48 - Data logging.mp4	301.1 MB
49 - Viewing model graphs English.vtt	3.5 KB
49 - Viewing model graphs.mp4	22.5 MB
50 - Hyperparameter tuning English.vtt	23.6 KB
50 - Hyperparameter tuning.mp4	204.4 MB
51 - Profiling and other visualizations with Tensorboard English.vtt	9.1 KB
51 - Profiling and other visualizations with Tensorboard.mp4	72.5 MB
/11 - MLOps with Weights and Biases/
52 - Experiment tracking English.vtt	65.8 KB
52 - Experiment tracking.mp4	492.5 MB
53 - Hyperparameter tuning with wandb English.vtt	31.5 KB
53 - Hyperparameter tuning with wandb.mp4	233.4 MB
54 - Dataset Versioning with Weights and Biases and TensorFlow 2 English.vtt	51.6 KB
54 - Dataset Versioning with Weights and Biases and TensorFlow 2.mp4	345.5 MB
55 - Model Versioning with Weights and Biases and TensorFlow 2 English.vtt	19.9 KB
55 - Model Versioning with Weights and Biases and TensorFlow 2.mp4	144.1 MB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/12 - Human Emotions Detection/
56 - Data preparation English.vtt	32.8 KB
56 - Data preparation.mp4	236.5 MB
57 - Modeling and training English.vtt	61.4 KB
57 - Modeling and training.mp4	390.0 MB
58 - Data augmentation English.vtt	20.6 KB
58 - Data augmentation.mp4	149.0 MB
59 - Tensorflow records English.vtt	41.3 KB
59 - Tensorflow records.mp4	307.9 MB
/13 - Modern Convolutional Neural Networks/
60 - Alexnet English.vtt	18.5 KB
60 - Alexnet.mp4	192.3 MB
61 - Vggnet English.vtt	12.6 KB
61 - Vggnet.mp4	122.1 MB
62 - Resnet English.vtt	36.5 KB
62 - Resnet.mp4	368.5 MB
63 - Coding Resnets English.vtt	27.3 KB
63 - Coding Resnets.mp4	189.1 MB
64 - Mobilenet English.vtt	28.0 KB
64 - Mobilenet.mp4	216.8 MB
65 - Efficientnet English.vtt	18.9 KB
65 - Efficientnet.mp4	198.4 MB
/14 - Transfer Learning/
66 - Leveraging pretrained models English.vtt	25.8 KB
66 - Leveraging pretrained models.mp4	171.5 MB
67 - Finetuning English.vtt	14.4 KB
67 - Finetuning.mp4	117.6 MB
/15 - Understanding the blackbox/
68 - Visualizing intermediate layers English.vtt	21.7 KB
68 - Visualizing intermediate layers.mp4	165.7 MB
69 - Gradcam method English.vtt	24.6 KB
69 - Gradcam method.mp4	237.8 MB
/16 - Ensembling and class imbalance/
70 - Ensembling English.vtt	6.1 KB
70 - Ensembling.mp4	47.4 MB
71 - Class Imbalance English.vtt	13.1 KB
71 - Class Imbalance.mp4	105.5 MB
/17 - Transformers in Vision/
72 - Understanding VITs English.vtt	58.0 KB
72 - Understanding VITs.mp4	442.5 MB
73 - Building VITs from scratch English.vtt	58.5 KB
73 - Building VITs from scratch.mp4	418.2 MB
74 - Finetuning Huggingface transformers English.vtt	27.8 KB
74 - Finetuning Huggingface transformers.mp4	216.6 MB
75 - Model evaluation with wandb English.vtt	25.7 KB
75 - Model evaluation with wandb.mp4	147.1 MB
76 - Data efficient transformers English.vtt	9.4 KB
76 - Data efficient transformers.mp4	76.3 MB
77 - Swin transformers English.vtt	17.4 KB
77 - Swin transformers.mp4	201.7 MB
/18 - Model deployment/
78 - Model Conversion from Tensorflow to Onnx English.vtt	26.7 KB
78 - Model Conversion from Tensorflow to Onnx.mp4	215.5 MB
79 - Understanding quantization English.vtt	30.0 KB
79 - Understanding quantization.mp4	281.2 MB
80 - Practical quantization of Onnx English.vtt	9.4 KB
80 - Practical quantization of Onnx.mp4	68.1 MB
81 - Quantization aware training English.vtt	20.4 KB
81 - Quantization aware training.mp4	168.3 MB
82 - Conversion to Tensorflow Lite English.vtt	20.5 KB
82 - Conversion to Tensorflow Lite.mp4	162.2 MB
83 - What is an API English.vtt	22.4 KB
83 - What is an API.mp4	134.1 MB
84 - Building the Emotions Detection API with Fastapi English.vtt	91.0 KB
84 - Building the Emotions Detection API with Fastapi.mp4	707.4 MB
85 - Deploy the Emotions Detection API to the Cloud English.vtt	14.0 KB
85 - Deploy the Emotions Detection API to the Cloud.mp4	105.1 MB
86 - Load tesing the Emotions Detection API with Locust English.vtt	16.0 KB
86 - Load tesing the Emotions Detection API with Locust.mp4	111.5 MB
/19 - Object Detection with YOLO algorithm/
87 - Understanding object detection English.vtt	7.5 KB
87 - Understanding object detection.mp4	55.0 MB
88 - YOLO paper English.vtt	69.7 KB
88 - YOLO paper.mp4	599.8 MB
89 - Dataset Preparation English.vtt	48.2 KB
89 - Dataset Preparation.mp4	420.6 MB
90 - YOLO Resnet English.vtt	6.2 KB
90 - YOLO Resnet.mp4	56.6 MB
91 - Data augmentation English.vtt	27.3 KB
91 - Data augmentation.mp4	230.0 MB
92 - Testing English.vtt	36.3 KB
92 - Testing.mp4	323.8 MB
93 - Data generators English.vtt	5.3 KB
93 - Data generators.mp4	53.9 MB
/2 - Tensors and Variables/
10 - Sparse Tensors English.vtt	3.1 KB
10 - Sparse Tensors.mp4	18.9 MB
11 - String Tensors English.vtt	3.7 KB
11 - String Tensors.mp4	24.1 MB
12 - Tensorflow Variables English.vtt	8.4 KB
12 - Tensorflow Variables.mp4	47.1 MB
4 - Tensor Basics English.vtt	7.4 KB
4 - Tensor Basics.mp4	45.7 MB
5 - Tensor Initialization and Casting English.vtt	68.5 KB
5 - Tensor Initialization and Casting.mp4	426.3 MB
6 - Indexing English.vtt	18.9 KB
6 - Indexing.mp4	81.3 MB
7 - Maths Operations in Tensorflow English.vtt	39.1 KB
7 - Maths Operations in Tensorflow.mp4	225.5 MB
8 - Linear Algebra Operations in Tensorflow English.vtt	70.3 KB
8 - Linear Algebra Operations in Tensorflow.mp4	389.6 MB
9 - Ragged Tensors English.vtt	14.0 KB
9 - Ragged Tensors.mp4	82.3 MB
/20 - Image segmentation/
94 - Image Segmentation Oxford IIIT Pet Dataset English.vtt	8.4 KB
94 - Image Segmentation Oxford IIIT Pet Dataset.mp4	63.7 MB
95 - UNET Model English.vtt	17.9 KB
95 - UNET Model.mp4	127.4 MB
96 - Training and optimization English.vtt	5.7 KB
96 - Training and optimization.mp4	46.9 MB
97 - Data augmentation and dropout English.vtt	5.0 KB
97 - Data augmentation and dropout.mp4	30.9 MB
98 - Class weighting English.vtt	16.3 KB
98 - Class weighting.mp4	138.6 MB
/21 - People counting/
100 - Dataset preparation English.vtt	45.8 KB
100 - Dataset preparation.mp4	339.6 MB
101 - CSRNET English.vtt	8.5 KB
101 - CSRNET.mp4	78.8 MB
102 - Training and optimization English.vtt	6.9 KB
102 - Training and optimization.mp4	54.5 MB
103 - Data augmentation English.vtt	31.2 KB
103 - Data augmentation.mp4	273.6 MB
99 - People Counting Shangai Tech Dataset English.vtt	13.0 KB
99 - People Counting Shangai Tech Dataset.mp4	87.5 MB
/22 - Image generation/
104 - Introduction to image generation English.vtt	3.6 KB
104 - Introduction to image generation.mp4	28.6 MB
105 - Understanding variational autoencoders English.vtt	16.7 KB
105 - Understanding variational autoencoders.mp4	123.2 MB
106 - VAE training and digit generation English.vtt	46.4 KB
106 - VAE training and digit generation.mp4	313.1 MB
107 - Latent space visualizations English.vtt	15.7 KB
107 - Latent space visualizations.mp4	118.7 MB
108 - How GANs work English.vtt	22.7 KB
108 - How GANs work.mp4	243.7 MB
109 - Improving GAN training English.vtt	26.8 KB
109 - Improving GAN training.mp4	176.1 MB
110 - Face generation with GANs English.vtt	57.3 KB
110 - Face generation with GANs.mp4	428.4 MB
/.../0. Websites you may like/
[CourseClub.Me].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/23 - Text Preprocessing for Sentiment analysis/
111 - Understanding sentiment analysis English.vtt	12.5 KB
111 - Understanding sentiment analysis.mp4	94.3 MB
112 - Text standardization English.vtt	16.3 KB
112 - Text standardization.mp4	129.4 MB
113 - Tokenization English.vtt	18.7 KB
113 - Tokenization.mp4	129.6 MB
114 - Onehot encoding and Bag of Words English.vtt	16.6 KB
114 - Onehot encoding and Bag of Words.mp4	130.7 MB
115 - Term frequency Inverse Document frequency TFIDF English.vtt	10.9 KB
115 - Term frequency Inverse Document frequency TFIDF.mp4	100.9 MB
116 - Embeddings English.vtt	12.1 KB
116 - Embeddings.mp4	97.0 MB
/24 - Sentiment Analysis with Recurrent neural networks/
117 - How Recurrent neural networks work English.vtt	22.1 KB
117 - How Recurrent neural networks work.mp4	129.5 MB
118 - Data preparation English.vtt	31.2 KB
118 - Data preparation.mp4	216.6 MB
119 - Building and training RNNs English.vtt	26.4 KB
119 - Building and training RNNs.mp4	175.3 MB
120 - Advanced RNNs LSTM and GRU English.vtt	39.0 KB
120 - Advanced RNNs LSTM and GRU.mp4	238.1 MB
121 - 1D Convolutional Neural Network English.vtt	34.7 KB
121 - 1D Convolutional Neural Network.mp4	297.7 MB
/25 - Sentiment Analysis with transfer learning/
122 - Understanding Word2vec English.vtt	28.3 KB
122 - Understanding Word2vec.mp4	221.3 MB
123 - Integrating pretrained Word2vec embeddings English.vtt	14.4 KB
123 - Integrating pretrained Word2vec embeddings.mp4	95.9 MB
124 - Testing English.vtt	8.4 KB
124 - Testing.mp4	55.5 MB
125 - Visualizing embeddings English.vtt	17.7 KB
125 - Visualizing embeddings.mp4	156.9 MB
/26 - Neural Machine Translation with Recurrent Neural Networks/
126 - Understanding Machine Translation English.vtt	15.6 KB
126 - Understanding Machine Translation.mp4	106.3 MB
127 - Data preparation English.vtt	29.9 KB
127 - Data preparation.mp4	173.8 MB
128 - Building training and testing Model English.vtt	34.2 KB
128 - Building training and testing Model.mp4	240.2 MB
129 - Understanding BLEU Score English.vtt	12.3 KB
129 - Understanding BLEU Score.mp4	78.0 MB
130 - Coding BLEU score from scratch English.vtt	16.6 KB
130 - Coding BLEU score from scratch.mp4	117.0 MB
/27 - Neural Machine Translation with Attention/
131 - Understanding Bahdanau Attention English.vtt	22.1 KB
131 - Understanding Bahdanau Attention.mp4	189.1 MB
132 - Building training and testing Bahdanau Attention English.vtt	25.1 KB
132 - Building training and testing Bahdanau Attention.mp4	188.1 MB
/28 - Neural Machine Translation with Transformers/
133 - Understanding Transformer Networks English.vtt	71.6 KB
133 - Understanding Transformer Networks.mp4	636.4 MB
134 - Building training and testing Transformers English.vtt	68.5 KB
134 - Building training and testing Transformers.mp4	584.1 MB
135 - Building Transformers with Custom Attention Layer English.vtt	23.2 KB
135 - Building Transformers with Custom Attention Layer.mp4	192.0 MB
136 - Visualizing Attention scores English.vtt	15.3 KB
136 - Visualizing Attention scores.mp4	91.5 MB
/29 - Sentiment Analysis with Transformers/
137 - Sentiment analysis with Transformer encoder English.vtt	10.0 KB
137 - Sentiment analysis with Transformer encoder.mp4	70.1 MB
138 - Sentiment analysis with LSH Attention English.vtt	83.0 KB
138 - Sentiment analysis with LSH Attention.mp4	565.3 MB
/3 - Building a Simple Neural Network in Tensorflow/
13 - Task Understanding English.vtt	5.2 KB
13 - Task Understanding.mp4	32.0 MB
14 - Data Preparation English.vtt	39.4 KB
14 - Data Preparation.mp4	289.7 MB
15 - Linear Regression Model English.vtt	17.2 KB
15 - Linear Regression Model.mp4	110.2 MB
16 - Error sanctioning English.vtt	16.4 KB
16 - Error sanctioning.mp4	99.8 MB
17 - Training and Optimization English.vtt	17.6 KB
17 - Training and Optimization.mp4	122.4 MB
18 - Performance Measurement English.vtt	3.1 KB
18 - Performance Measurement.mp4	23.0 MB
19 - Validation and testing English.vtt	21.8 KB
19 - Validation and testing.mp4	142.3 MB
20 - Corrective Measures English.vtt	27.6 KB
20 - Corrective Measures.mp4	205.4 MB
/30 - Transfer Learning and Generalized Language Models/
139 - Understanding Transfer Learning English.vtt	14.1 KB
139 - Understanding Transfer Learning.mp4	76.1 MB
140 - Ulmfit English.vtt	5.2 KB
140 - Ulmfit.mp4	47.3 MB
141 - Gpt English.vtt	23.0 KB
141 - Gpt.mp4	124.9 MB
142 - Bert English.vtt	21.7 KB
142 - Bert.mp4	147.7 MB
143 - Albert English.vtt	5.3 KB
143 - Albert.mp4	56.4 MB
144 - Gpt2 English.vtt	13.4 KB
144 - Gpt2.mp4	143.1 MB
145 - Roberta English.vtt	2.4 KB
145 - Roberta.mp4	21.0 MB
146 - T5 English.vtt	9.3 KB
146 - T5.mp4	78.9 MB
/31 - Sentiment Analysis with Deberta in Huggingface transformers/
147 - Data Preparation English.vtt	52.0 KB
147 - Data Preparation.mp4	351.2 MB
148 - Buildingtraining and testing model English.vtt	31.6 KB
148 - Buildingtraining and testing model.mp4	227.1 MB
/32 - Intent Classification with Deberta in Huggingface transformers/
149 - Problem Understanding and Data Preparation English.vtt	20.7 KB
149 - Problem Understanding and Data Preparation.mp4	153.4 MB
150 - Buildingtraining and testing model English.vtt	11.1 KB
150 - Buildingtraining and testing model.mp4	88.1 MB
/33 - Named Entity Relation with Roberta in Huggingface transformers/
151 - Problem Understanding and Data Preparation English.vtt	30.6 KB
151 - Problem Understanding and Data Preparation.mp4	197.1 MB
152 - Buildingtraining and testing model English.vtt	15.1 KB
152 - Buildingtraining and testing model.mp4	102.7 MB
/34 - Extractive Question Answering with Longformer in Huggingface transformers/
153 - Problem Understanding and Data Preparation English.vtt	69.4 KB
153 - Problem Understanding and Data Preparation.mp4	634.4 MB
154 - Buildingtraining and testing model English.vtt	14.2 KB
154 - Buildingtraining and testing model.mp4	114.6 MB
/35 - Ecommerce search engine with Sentence transformers/
155 - Problem Understanding and Sentence Embeddings English.vtt	41.0 KB
155 - Problem Understanding and Sentence Embeddings.mp4	326.5 MB
156 - Dataset preparation English.vtt	42.3 KB
156 - Dataset preparation.mp4	347.3 MB
157 - Buildingtraining and testing model English.vtt	50.4 KB
157 - Buildingtraining and testing model.mp4	415.4 MB
/36 - Lyrics Generator with GPT2 in Huggingface transformers/
158 - Problem Understanding and Data Preparation English.vtt	26.1 KB
158 - Problem Understanding and Data Preparation.mp4	194.7 MB
159 - Buildingtraining and testing model English.vtt	30.0 KB
159 - Buildingtraining and testing model.mp4	265.8 MB
/37 - Grammatical Error Correction with T5 in Huggingface transformers/
160 - Problem Understanding and Data Preparation English.vtt	10.3 KB
160 - Problem Understanding and Data Preparation.mp4	68.8 MB
161 - Buildingtraining and testing model English.vtt	8.1 KB
161 - Buildingtraining and testing model.mp4	57.6 MB
/38 - Elon Musk Bot with BlenderBot in Huggingface transformers/
162 - Problem Understanding and Data Preparation English.vtt	30.1 KB
162 - Problem Understanding and Data Preparation.mp4	248.4 MB
163 - Buildingtraining and testing model English.vtt	17.1 KB
163 - Buildingtraining and testing model.mp4	141.2 MB
/39 - DEPRECATED Introduction/
164 - Welcome English.vtt	2.0 KB
164 - Welcome.mp4	5.4 MB
165 - General Introduction English.vtt	12.1 KB
165 - General Introduction.mp4	56.6 MB
166 - Applications of Deep Learning English.vtt	8.8 KB
166 - Applications of Deep Learning.mp4	73.9 MB
167 - About this Course English.vtt	10.0 KB
167 - About this Course.mp4	74.3 MB
168 - Link to Code.html	0.1 KB
/4 - Building Convolutional Neural Networks Malaria Diagnosis/
21 - Task understanding English.vtt	9.4 KB
21 - Task understanding.mp4	66.8 MB
22 - Data Preparation English.vtt	24.0 KB
22 - Data Preparation.mp4	168.4 MB
23 - Data visualization English.vtt	3.1 KB
23 - Data visualization.mp4	17.7 MB
24 - Data Processing English.vtt	9.3 KB
24 - Data Processing.mp4	57.1 MB
25 - How and Why Convolutional Neural Networks work English.vtt	53.2 KB
25 - How and Why Convolutional Neural Networks work.mp4	365.7 MB
26 - Building Convnets in Tensorflow English.vtt	7.5 KB
26 - Building Convnets in Tensorflow.mp4	46.9 MB
27 - Binary Crossentropy loss English.vtt	8.7 KB
27 - Binary Crossentropy loss.mp4	49.4 MB
28 - Convnet training English.vtt	15.5 KB
28 - Convnet training.mp4	119.3 MB
29 - Model evaluation and testing English.vtt	6.1 KB
29 - Model evaluation and testing.mp4	41.6 MB
30 - Loading and Saving Tensorflow Models to Google Drive English.vtt	20.8 KB
30 - Loading and Saving Tensorflow Models to Google Drive.mp4	135.2 MB
/40 - Essential Python Programming/
169 - Python Installation English.vtt	4.4 KB
169 - Python Installation.mp4	19.0 MB
170 - Variables and Basic Operators English.vtt	28.8 KB
170 - Variables and Basic Operators.mp4	141.5 MB
171 - Conditional Statements English.vtt	18.1 KB
171 - Conditional Statements.mp4	93.9 MB
172 - Loops English.vtt	23.0 KB
172 - Loops.mp4	97.8 MB
173 - Methods English.vtt	22.0 KB
173 - Methods.mp4	92.7 MB
174 - Objects and Classes English.vtt	15.3 KB
174 - Objects and Classes.mp4	62.0 MB
175 - Operator Overloading English.vtt	12.2 KB
175 - Operator Overloading.mp4	55.4 MB
176 - Method Types English.vtt	9.4 KB
176 - Method Types.mp4	50.7 MB
177 - Inheritance English.vtt	11.2 KB
177 - Inheritance.mp4	60.1 MB
178 - Encapsulation English.vtt	2.1 KB
178 - Encapsulation.mp4	12.1 MB
179 - Polymorphism English.vtt	2.6 KB
179 - Polymorphism.mp4	14.0 MB
180 - Decorators English.vtt	18.8 KB
180 - Decorators.mp4	95.1 MB
181 - Generators English.vtt	9.7 KB
181 - Generators.mp4	48.8 MB
182 - Numpy Package English.vtt	51.7 KB
182 - Numpy Package.mp4	218.0 MB
183 - Matplotlib Introduction English.vtt	5.0 KB
183 - Matplotlib Introduction.mp4	22.6 MB
/41 - DEPRECATED Introduction to Machine Learning/
184 - Task Machine Learning Development Life Cycle English.vtt	15.1 KB
184 - Task Machine Learning Development Life Cycle.mp4	84.2 MB
185 - Data Machine Learning Development Life Cycle English.vtt	16.9 KB
185 - Data Machine Learning Development Life Cycle.mp4	86.7 MB
186 - Model Machine Learning Development Life Cycle English.vtt	20.0 KB
186 - Model Machine Learning Development Life Cycle.mp4	103.4 MB
187 - Error Sanctioning Machine Learning Development Life Cycle English.vtt	30.1 KB
187 - Error Sanctioning Machine Learning Development Life Cycle.mp4	187.6 MB
188 - Linear Regression English.vtt	46.6 KB
188 - Linear Regression.mp4	252.7 MB
189 - Logistic Regression English.vtt	37.0 KB
189 - Logistic Regression.mp4	240.6 MB
190 - Linear Regression Practice English.vtt	27.2 KB
190 - Linear Regression Practice.mp4	136.6 MB
191 - Logistic Regression Practice English.vtt	14.9 KB
191 - Logistic Regression Practice.mp4	76.0 MB
192 - Optimization English.vtt	22.3 KB
192 - Optimization.mp4	133.1 MB
193 - Performance Measurement English.vtt	38.7 KB
193 - Performance Measurement.mp4	220.4 MB
194 - Validation and Testing English.vtt	9.2 KB
194 - Validation and Testing.mp4	44.6 MB
195 - Softmax Regression Data English.vtt	5.7 KB
195 - Softmax Regression Data.mp4	51.0 MB
196 - Softmax Regression Modeling English.vtt	7.7 KB
196 - Softmax Regression Modeling.mp4	38.1 MB
197 - Softmax Regression Errror Sanctioning English.vtt	10.2 KB
197 - Softmax Regression Errror Sanctioning.mp4	49.4 MB
198 - Softmax Regression Training and Optimization English.vtt	37.8 KB
198 - Softmax Regression Training and Optimization.mp4	217.1 MB
199 - Softmax Regression Performance Measurement English.vtt	10.1 KB
199 - Softmax Regression Performance Measurement.mp4	65.7 MB
200 - Neural Networks Modeling English.vtt	30.2 KB
200 - Neural Networks Modeling.mp4	195.4 MB
201 - Neural Networks Error Sanctioning English.vtt	2.1 KB
201 - Neural Networks Error Sanctioning.mp4	8.9 MB
202 - Neural Networks Training and Optimization English.vtt	51.5 KB
202 - Neural Networks Training and Optimization.mp4	383.9 MB
203 - Neural Networks Training and Optimization Practicals English.vtt	37.7 KB
203 - Neural Networks Training and Optimization Practicals.mp4	222.9 MB
204 - Neural Networks Performance Measurement English.vtt	4.0 KB
204 - Neural Networks Performance Measurement.mp4	23.3 MB
205 - Neural Networks Validation and testing English.vtt	9.6 KB
205 - Neural Networks Validation and testing.mp4	61.8 MB
206 - Solving Overfitting and Underfitting English.vtt	26.3 KB
206 - Solving Overfitting and Underfitting.mp4	172.3 MB
207 - Shuffling English.vtt	1.3 KB
207 - Shuffling.mp4	6.1 MB
208 - Ensembling English.vtt	0.7 KB
208 - Ensembling.mp4	4.7 MB
209 - Weight Initialization English.vtt	17.7 KB
209 - Weight Initialization.mp4	108.2 MB
210 - Data Imbalance English.vtt	5.3 KB
210 - Data Imbalance.mp4	28.8 MB
211 - Learning rate decay English.vtt	2.7 KB
211 - Learning rate decay.mp4	13.0 MB
212 - Normalization English.vtt	18.1 KB
212 - Normalization.mp4	105.7 MB
213 - Hyperparameter tuning English.vtt	3.4 KB
213 - Hyperparameter tuning.mp4	15.2 MB
214 - In Class Exercise English.vtt	4.7 KB
214 - In Class Exercise.mp4	28.9 MB
/42 - DEPRECATED Introduction to TensorFlow 2/
215 - TensorFlow Installation English.vtt	13.4 KB
215 - TensorFlow Installation.mp4	99.6 MB
216 - Introduction to TensorFlow English.vtt	18.4 KB
216 - Introduction to TensorFlow.mp4	113.0 MB
217 - TensorFlow Basics English.vtt	30.6 KB
217 - TensorFlow Basics.mp4	125.9 MB
218 - Training a Neural Network with TensorFlow English.vtt	48.3 KB
218 - Training a Neural Network with TensorFlow.mp4	242.7 MB
/43 - DEPRECATED Introduction to Deep Computer Vision with TensorFlow 2/
219 - Tiny Imagenet Dataset English.vtt	10.6 KB
219 - Tiny Imagenet Dataset.mp4	89.5 MB
220 - TinyImagenet Preparation English.vtt	23.9 KB
220 - TinyImagenet Preparation.mp4	137.3 MB
221 - Introduction to Convolutional Neural Networks English.vtt	69.5 KB
221 - Introduction to Convolutional Neural Networks.mp4	377.1 MB
222 - Error Sanctioning English.vtt	7.1 KB
222 - Error Sanctioning.mp4	27.5 MB
223 - Training Validation and Performance Measurement English.vtt	3.8 KB
223 - Training Validation and Performance Measurement.mp4	21.9 MB
224 - Reducing overfitting English.vtt	8.8 KB
224 - Reducing overfitting.mp4	65.8 MB
225 - VGGNet English.vtt	16.8 KB
225 - VGGNet.mp4	176.6 MB
226 - InceptionNet English.vtt	18.8 KB
226 - InceptionNet.mp4	143.7 MB
227 - ResNet English.vtt	17.4 KB
227 - ResNet.mp4	206.0 MB
228 - MobileNet English.vtt	23.2 KB
228 - MobileNet.mp4	207.7 MB
229 - EfficientNet English.vtt	40.0 KB
229 - EfficientNet.mp4	412.8 MB
230 - Transfer Learning and FineTuning English.vtt	63.9 KB
230 - Transfer Learning and FineTuning.mp4	461.3 MB
231 - Data Augmentation English.vtt	12.4 KB
231 - Data Augmentation.mp4	74.7 MB
232 - Callbacks English.vtt	17.3 KB
232 - Callbacks.mp4	129.7 MB
233 - Monitoring with TensorBoard English.vtt	18.5 KB
233 - Monitoring with TensorBoard.mp4	106.4 MB
234 - ConvNet Project 1 English.vtt	2.8 KB
234 - ConvNet Project 1.mp4	10.9 MB
235 - ConvNet Project 2 English.vtt	4.7 KB
235 - ConvNet Project 2.mp4	31.5 MB
/44 - DEPRECATED Introduction to Deep NLP with TensorFlow 2/
236 - Sentiment Analysis Dataset English.vtt	27.7 KB
236 - Sentiment Analysis Dataset.mp4	161.0 MB
237 - Imdb Dataset Code English.vtt	40.7 KB
237 - Imdb Dataset Code.mp4	301.5 MB
238 - Recurrent Neural Networks English.vtt	38.2 KB
238 - Recurrent Neural Networks.mp4	217.6 MB
239 - Training and Optimization Evaluation English.vtt	15.9 KB
239 - Training and Optimization Evaluation.mp4	90.4 MB
240 - Embeddings English.vtt	18.1 KB
240 - Embeddings.mp4	103.0 MB
241 - LSTM English.vtt	21.6 KB
241 - LSTM.mp4	153.1 MB
242 - GRU English.vtt	5.6 KB
242 - GRU.mp4	31.8 MB
243 - 1D Convolutions English.vtt	14.3 KB
243 - 1D Convolutions.mp4	68.9 MB
244 - Bidirectional RNNs English.vtt	6.0 KB
244 - Bidirectional RNNs.mp4	39.2 MB
245 - Word2Vec English.vtt	14.6 KB
245 - Word2Vec.mp4	101.0 MB
246 - RNN Project English.vtt	4.0 KB
246 - RNN Project.mp4	29.1 MB
/45 - DEPRECATED Breast Cancer Detection/
247 - Breast Cancer Dataset English.vtt	14.1 KB
247 - Breast Cancer Dataset.mp4	95.5 MB
248 - ResNet Model English.vtt	2.5 KB
248 - ResNet Model.mp4	14.0 MB
249 - Training and Performance Measurement English.vtt	25.8 KB
249 - Training and Performance Measurement.mp4	157.3 MB
250 - Corrective Measures English.vtt	9.5 KB
250 - Corrective Measures.mp4	52.0 MB
251 - Plant Disease Project English.vtt	5.9 KB
251 - Plant Disease Project.mp4	40.9 MB
/46 - DEPRECATED Object Detection with YOLO/
252 - Object Detection English.vtt	7.4 KB
252 - Object Detection.mp4	51.6 MB
253 - Pascal VOC Dataset English.vtt	61.0 KB
253 - Pascal VOC Dataset.mp4	422.1 MB
254 - Modeling YOLO v1 English.vtt	50.2 KB
254 - Modeling YOLO v1.mp4	502.5 MB
255 - Error Sanctioning English.vtt	33.6 KB
255 - Error Sanctioning.mp4	194.8 MB
256 - Training and Optimization English.vtt	11.5 KB
256 - Training and Optimization.mp4	117.3 MB
257 - Testing English.vtt	24.4 KB
257 - Testing.mp4	170.3 MB
258 - Performance Measurement Mean Average Precision mAP English.vtt	47.1 KB
258 - Performance Measurement Mean Average Precision mAP.mp4	279.9 MB
259 - Data Augmentation English.vtt	15.9 KB
259 - Data Augmentation.mp4	101.2 MB
260 - YOLO v3 English.vtt	77.8 KB
260 - YOLO v3.mp4	643.9 MB
261 - Instance Segmentation Project English.vtt	1.7 KB
261 - Instance Segmentation Project.mp4	11.1 MB
/47 - DEPRECATED Semantic Segmentation with UNET/
262 - Image Segmentation Oxford IIIT Pet Dataset English.vtt	8.4 KB
262 - Image Segmentation Oxford IIIT Pet Dataset.mp4	60.2 MB
263 - UNET model English.vtt	18.2 KB
263 - UNET model.mp4	118.7 MB
264 - Training and Optimization English.vtt	5.6 KB
264 - Training and Optimization.mp4	43.9 MB
265 - Data Augmentation and Dropout English.vtt	4.9 KB
265 - Data Augmentation and Dropout.mp4	28.6 MB
266 - Class weighting and reduced network English.vtt	16.7 KB
266 - Class weighting and reduced network.mp4	129.4 MB
267 - Semantic Segmentation Project English.vtt	0.5 KB
267 - Semantic Segmentation Project.mp4	1.5 MB
/48 - DEPRECATED People Counting/
268 - People Counting Shangai Tech Dataset English.vtt	13.0 KB
268 - People Counting Shangai Tech Dataset.mp4	83.4 MB
269 - Dataset Preparation English.vtt	46.1 KB
269 - Dataset Preparation.mp4	317.9 MB
270 - CSRNET English.vtt	8.7 KB
270 - CSRNET.mp4	74.8 MB
271 - Training and Optimization English.vtt	6.9 KB
271 - Training and Optimization.mp4	51.5 MB
272 - Data Augmentation English.vtt	31.3 KB
272 - Data Augmentation.mp4	257.4 MB
273 - Object Counting Project English.vtt	1.2 KB
273 - Object Counting Project.mp4	2.9 MB
/49 - DEPRECATED Neural Machine Translation with TensorFlow 2/
274 - FreEng Dataset and Task English.vtt	18.6 KB
274 - FreEng Dataset and Task.mp4	129.0 MB
275 - Sequence to Sequence Models English.vtt	31.5 KB
275 - Sequence to Sequence Models.mp4	207.9 MB
276 - Training Sequence to Sequence Models English.vtt	3.5 KB
276 - Training Sequence to Sequence Models.mp4	15.6 MB
277 - Performance Measurement BLEU Score English.vtt	34.6 KB
277 - Performance Measurement BLEU Score.mp4	175.6 MB
278 - Testing Sequence to Sequence Models English.vtt	12.9 KB
278 - Testing Sequence to Sequence Models.mp4	78.2 MB
279 - Attention Mechanism Bahdanau Attention English.vtt	63.9 KB
279 - Attention Mechanism Bahdanau Attention.mp4	441.9 MB
280 - Transformers Theory English.vtt	63.0 KB
280 - Transformers Theory.mp4	348.3 MB
281 - Building Transformers with TensorFlow 2 English.vtt	62.2 KB
281 - Building Transformers with TensorFlow 2.mp4	331.2 MB
282 - Text Normalization project English.vtt	3.4 KB
282 - Text Normalization project.mp4	24.9 MB
/5 - Building more advanced Models with Functional API Subclassing and Custom Layers/
31 - Functional API English.vtt	18.2 KB
31 - Functional API.mp4	145.1 MB
32 - Model Subclassing English.vtt	16.5 KB
32 - Model Subclassing.mp4	125.4 MB
33 - Custom Layers English.vtt	19.7 KB
33 - Custom Layers.mp4	142.3 MB
/50 - DEPRECATED Question Answering with TensorFlow 2/
283 - Understanding Question Answering English.vtt	2.8 KB
283 - Understanding Question Answering.mp4	13.5 MB
284 - SQUAD dataset English.vtt	22.6 KB
284 - SQUAD dataset.mp4	234.9 MB
285 - SQUAD dataset preparation English.vtt	23.0 KB
285 - SQUAD dataset preparation.mp4	173.4 MB
286 - Context Answer Network English.vtt	10.6 KB
286 - Context Answer Network.mp4	65.5 MB
287 - Training and Optimization English.vtt	6.2 KB
287 - Training and Optimization.mp4	37.7 MB
288 - Data Augmentation English.vtt	2.5 KB
288 - Data Augmentation.mp4	15.2 MB
289 - LSH Attention English.vtt	82.0 KB
289 - LSH Attention.mp4	502.0 MB
290 - BERT Model English.vtt	19.6 KB
290 - BERT Model.mp4	231.0 MB
291 - BERT Practice English.vtt	38.5 KB
291 - BERT Practice.mp4	302.6 MB
292 - GPT Based Chatbot English.vtt	1.3 KB
292 - GPT Based Chatbot.mp4	11.6 MB
/51 - DEPRECATED Automatic Speech Recognition/
293 - What is Automatic Speech Recognition English.vtt	3.0 KB
293 - What is Automatic Speech Recognition.mp4	13.0 MB
294 - LJ Speech Dataset English.vtt	8.8 KB
294 - LJ Speech Dataset.mp4	48.1 MB
295 - Fourier Transform English.vtt	37.9 KB
295 - Fourier Transform.mp4	235.1 MB
296 - Short Time Fourier Transform English.vtt	27.8 KB
296 - Short Time Fourier Transform.mp4	168.8 MB
297 - Conv CTC Model English.vtt	22.5 KB
297 - Conv CTC Model.mp4	120.9 MB
298 - Speech Transformer English.vtt	26.2 KB
298 - Speech Transformer.mp4	245.6 MB
299 - Audio Classification project English.vtt	0.8 KB
299 - Audio Classification project.mp4	4.6 MB
/52 - DEPRECATED Image Captioning/
300 - Flickr 30k Dataset English.vtt	24.5 KB
300 - Flickr 30k Dataset.mp4	197.1 MB
301 - CNN Transformer Model English.vtt	6.9 KB
301 - CNN Transformer Model.mp4	45.5 MB
302 - Training and Optimization English.vtt	22.5 KB
302 - Training and Optimization.mp4	185.7 MB
303 - Vision Transformers English.vtt	26.0 KB
303 - Vision Transformers.mp4	249.9 MB
304 - OCR Project English.vtt	0.8 KB
304 - OCR Project.mp4	4.3 MB
/53 - DEPRECATED Image Generative Modeling/
305 - Introduction to Generative Modeling English.vtt	8.1 KB
305 - Introduction to Generative Modeling.mp4	81.1 MB
306 - Image Generation English.vtt	12.7 KB
306 - Image Generation.mp4	93.0 MB
307 - GAN Loss English.vtt	10.7 KB
307 - GAN Loss.mp4	58.3 MB
308 - GAN training and Optimization English.vtt	27.9 KB
308 - GAN training and Optimization.mp4	199.3 MB
309 - Wasserstein GAN English.vtt	37.8 KB
309 - Wasserstein GAN.mp4	291.0 MB
310 - Image to Image Translation Project English.vtt	0.9 KB
310 - Image to Image Translation Project.mp4	6.0 MB
/54 - DEPRECATED Shipping a Model with Google Cloud Function/
311 - Introduction English.vtt	5.3 KB
311 - Introduction.mp4	25.2 MB
312 - Model Preparation English.vtt	8.5 KB
312 - Model Preparation.mp4	67.0 MB
313 - Deployment English.vtt	12.6 KB
313 - Deployment.mp4	55.3 MB
/6 - Evaluating Classification Models/
34 - PrecisionRecall and Accuracy English.vtt	25.6 KB
34 - PrecisionRecall and Accuracy.mp4	221.5 MB
35 - Confusion Matrix English.vtt	11.1 KB
35 - Confusion Matrix.mp4	65.4 MB
36 - ROC Plots English.vtt	9.2 KB
36 - ROC Plots.mp4	52.6 MB
/7 - Improving Model Performance/
37 - Tensorflow Callbacks English.vtt	28.6 KB
37 - Tensorflow Callbacks.mp4	227.8 MB
38 - Learning rate scheduling English.vtt	19.6 KB
38 - Learning rate scheduling.mp4	143.5 MB
39 - Model checkpointing English.vtt	8.7 KB
39 - Model checkpointing.mp4	64.8 MB
40 - Mitigating overfitting and underfitting English.vtt	31.5 KB
40 - Mitigating overfitting and underfitting.mp4	211.9 MB
/8 - Data augmentation/
41 - Data augmentation with TensorFlow using tfimage and Keras Layers English.vtt	62.5 KB
41 - Data augmentation with TensorFlow using tfimage and Keras Layers.mp4	444.6 MB
42 - Mixup Data augmentation with TensorFlow 2 with intergration in tfdata English.vtt	21.4 KB
42 - Mixup Data augmentation with TensorFlow 2 with intergration in tfdata.mp4	169.6 MB
43 - Cutmix Data augmentation with TensorFlow 2 and intergration in tfdata English.vtt	44.7 KB
43 - Cutmix Data augmentation with TensorFlow 2 and intergration in tfdata.mp4	360.9 MB
44 - Albumentations with TensorFlow 2 and PyTorch for Data augmentation English.vtt	93.9 KB
44 - Albumentations with TensorFlow 2 and PyTorch for Data augmentation.mp4	647.5 MB
/9 - Advanced Tensorflow Concepts/
45 - Custom Loss and Metrics English.vtt	25.0 KB
45 - Custom Loss and Metrics.mp4	184.5 MB
46 - Eager and graph modes English.vtt	14.6 KB
46 - Eager and graph modes.mp4	93.0 MB
47 - Custom training loops English.vtt	30.0 KB
47 - Custom training loops.mp4	246.4 MB
Total files 633