Deep Learning Image Classification with Tensorflow in 2023 | 5B468C5FA33779E32DDA3A2CAE9495D016AA5604

Deep Learning Image Classification with Tensorflow in 2023

Name	Deep Learning Image Classification with Tensorflow in 2023	DOWNLOAD Copy Link
Total Size	16.1 GB
Total Files	173
Last Seen	2024-07-22 00:32
Hash	5B468C5FA33779E32DDA3A2CAE9495D016AA5604

/.../18 - Deploying the Image classification model/
84 - Building API with Fastapi.mp4	707.7 MB
79 - Understanding quantization.mp4	281.2 MB
78 - Conversion from tensorflow to Onnx Model.mp4	215.4 MB
81 - Quantization Aware training.mp4	168.3 MB
82 - Conversion to tensorflowlite model.mp4	162.2 MB
83 - How APIs work.mp4	134.1 MB
86 - Load testing API.mp4	111.5 MB
85 - Deploying API to the Cloud.mp4	105.1 MB
80 - Practical quantization of Onnx Model.mp4	68.1 MB
/
TutsNode.net.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
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/8 - Data Augmentation/
44 - Albumentations with TensorFlow 2 and PyTorch for Data augmentation.mp4	647.5 MB
41 - Data augmentation with TensorFlow using tfimage and Keras Layers.mp4	444.6 MB
43 - Cutmix Data augmentation with TensorFlow 2 and intergration in tfdata.mp4	360.9 MB
42 - Mixup Data augmentation with TensorFlow 2 with intergration in tfdata.mp4	169.7 MB
/.../11 - MLOps with Weights and Biases/
52 - Experiment Tracking.mp4	492.5 MB
54 - Dataset Versioning with Weights and Biases and TensorFlow 2.mp4	345.5 MB
53 - Hyperparameter Tuning with Weights and Biases and TensorFlow 2.mp4	233.5 MB
55 - Model Versioning with Weights and Biases and TensorFlow 2.mp4	144.1 MB
/.../17 - Transformers in Vision/
72 - Understanding VITs.mp4	442.5 MB
73 - Building VITs from scratch.mp4	418.0 MB
74 - Finetuning Huggingface VITs.mp4	216.6 MB
77 - Swin Transformers.mp4	201.6 MB
75 - Model Evaluation with Wandb.mp4	147.0 MB
76 - Data efficient Transformers.mp4	76.4 MB
/.../2 - Tensors and variables/
4 - Initialization and Casting.mp4	426.3 MB
7 - Linear Algebra Operations.mp4	389.5 MB
8 - Common Methods.mp4	313.6 MB
6 - Maths Operations.mp4	225.5 MB
9 - RaggedTensors.mp4	82.3 MB
5 - Indexing.mp4	81.3 MB
12 - Variables.mp4	47.1 MB
3 - Basics.mp4	45.7 MB
11 - String Tensors.mp4	24.1 MB
10 - Sparse Tensors.mp4	18.9 MB
/.../12 - Human Emotions Detection/
57 - Modeling and Training.mp4	390.0 MB
59 - Tensorflow records.mp4	307.9 MB
56 - data preparation.mp4	236.4 MB
58 - Data augmentation.mp4	149.1 MB
/.../13 - Modern Convolutional Neural Networks/
62 - resnet.mp4	368.9 MB
64 - mobilenet.mp4	216.8 MB
65 - efficientnet.mp4	198.4 MB
60 - Alexnet.mp4	192.2 MB
63 - coding resnet.mp4	189.1 MB
61 - vggnet.mp4	122.1 MB
/.../4 - Building convnets with tensorflow/
25 - How and Why Convolutional Neural Networks Work.mp4	365.6 MB
22 - Data Preparation.mp4	168.4 MB
30 - Loading and Saving tensorflow models to gdrive.mp4	135.2 MB
28 - Training.mp4	119.3 MB
21 - Understanding the Task.mp4	66.9 MB
24 - Data Processing.mp4	57.1 MB
27 - Binary Crossentropy Loss.mp4	49.4 MB
26 - Building ConvNets with TensorFlow.mp4	46.9 MB
29 - Model Evaluation and Testing.mp4	41.6 MB
23 - Data Visualization.mp4	17.7 MB
/.../10 - Tensorboard integration with TensorFlow 2/
48 - Log data.mp4	301.2 MB
50 - hyperparameter tuning.mp4	204.4 MB
51 - Profiling and other visualizations with Tensorboard.mp4	72.5 MB
49 - view model graphs.mp4	22.5 MB
/.../3 - PREREQUISCITE Building neural networks with Tensorflow/
14 - Data Preparation.mp4	289.8 MB
20 - Corrective Measures.mp4	205.4 MB
19 - Validation and Testing.mp4	142.3 MB
17 - Training and Optimization.mp4	122.3 MB
15 - Linear Regression Model.mp4	110.2 MB
16 - Error Sanctioning.mp4	99.8 MB
13 - Understanding the Task.mp4	32.0 MB
18 - Performance Measurement.mp4	23.0 MB
/9 - Advanced Tensorflow/
47 - Custom Training Loops in TensorFlow 2.mp4	246.3 MB
45 - Custom Loss and Metrics in TensorFlow 2.mp4	184.6 MB
46 - Eager and Graph Modes in TensorFlow 2.mp4	93.0 MB
/.../15 - Understanding the blackbox/
69 - gradcam method.mp4	237.8 MB
68 - visualizing intermediate layers.mp4	165.8 MB
/.../7 - Improving Model Performance/
37 - Callbacks with TensorFlow.mp4	227.9 MB
40 - Mitigating Overfitting and Underfitting with Dropout Regularization.mp4	211.9 MB
38 - Learning Rate Scheduling.mp4	143.4 MB
39 - Model Checkpointing.mp4	64.8 MB
/.../6 - Evaluating Classification Models/
34 - PrecisionRecallAccuracy.mp4	221.7 MB
35 - Confusion Matrix.mp4	65.3 MB
36 - ROC curve.mp4	52.6 MB
/1 - Introduction/
2 - General Introduction.mp4	211.9 MB
1 - Welcome.mp4	33.6 MB
/.../14 - Transfer learning/
66 - Pretrained Models.mp4	171.4 MB
67 - Finetuning.mp4	117.7 MB
/.../5 - Building more advanced TensorFlow Models with Functional API Subclassing and Cu/
31 - Functional API.mp4	145.1 MB
33 - Custom Layers.mp4	142.3 MB
32 - Model Subclassing.mp4	125.4 MB
/.../16 - Class Imbalance and Ensembling/
71 - Class imbalance.mp4	105.5 MB
70 - Ensembling.mp4	47.4 MB
Total files 173