DesireCourse Net Udemy Complete Tensorflow and Keras Deep Learning Bootcamp

DesireCourse Net Udemy Complete Tensorflow and Keras Deep Learning Bootcamp

Name	[DesireCourse.Net] Udemy - Complete Tensorflow 2 and Keras Deep Learning Bootcamp	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	7.2 GB
Total Files	240
Last Seen	2025-05-28 23:47
Hash	5EA101C36BADAE3708E0F8B86787615D5A5FF1BA

/1. Course Overview, Installs, and Setup/
1. Course Overview.mp4	27.4 MB
1. Course Overview.srt	7.7 KB
2. Course Setup and Installation.mp4	159.8 MB
2. Course Setup and Installation.srt	35.4 KB
2.1 FINAL_TF2_FILES.zip.zip	104.1 MB
2.2 requirements.txt.txt	0.1 KB
3. FAQ - Frequently Asked Questions.html	5.5 KB
3.1 FINAL_TF2_FILES.zip.zip	104.1 MB
/10. Natural Language Processing/
1. Introduction to NLP Section.mp4	36.8 MB
1. Introduction to NLP Section.srt	9.0 KB
2. NLP - Part One - The Data.mp4	23.4 MB
2. NLP - Part One - The Data.srt	7.0 KB
3. NLP - Part Two - Text Processing.mp4	24.0 MB
3. NLP - Part Two - Text Processing.srt	6.0 KB
4. NLP - Part Three - Creating Batches.mp4	85.7 MB
4. NLP - Part Three - Creating Batches.srt	18.4 KB
5. NLP - Part Four - Creating the Model.mp4	67.4 MB
5. NLP - Part Four - Creating the Model.srt	14.6 KB
6. NLP - Part Five - Training the Model.mp4	68.4 MB
6. NLP - Part Five - Training the Model.srt	14.1 KB
7. NLP - Part Six - Generating Text.mp4	54.8 MB
7. NLP - Part Six - Generating Text.srt	11.9 KB
/11. AutoEncoders/
1. Introduction to Autoencoders.mp4	21.9 MB
2. Autoencoder Basics.mp4	44.7 MB
2. Autoencoder Basics.srt	11.6 KB
3. Autoencoder for Dimensionality Reduction.mp4	123.2 MB
3. Autoencoder for Dimensionality Reduction.srt	28.7 KB
4. Autoencoder for Images - Part One.mp4	98.7 MB
4. Autoencoder for Images - Part One.srt	24.0 KB
5. Autoencoder for Images - Part Two - Noise Removal.mp4	63.4 MB
5. Autoencoder for Images - Part Two - Noise Removal.srt	11.6 KB
6. Autoencoder Exercise Overview.mp4	35.6 MB
6. Autoencoder Exercise Overview.srt	5.3 KB
7. Autoencoder Exercise - Solutions.mp4	81.5 MB
7. Autoencoder Exercise - Solutions.srt	14.3 KB
/12. Generative Adversarial Networks/
1. GANs Overview.mp4	56.5 MB
1. GANs Overview.srt	12.0 KB
2. Creating a GAN - Part One- The Data.mp4	20.1 MB
2. Creating a GAN - Part One- The Data.srt	6.7 KB
3. Creating a GAN - Part Two - The Model.mp4	73.2 MB
3. Creating a GAN - Part Two - The Model.srt	17.7 KB
4. Creating a GAN - Part Three - Model Training.mp4	138.0 MB
4. Creating a GAN - Part Three - Model Training.srt	35.0 KB
5. DCGAN - Deep Convolutional Generative Adversarial Networks.mp4	59.9 MB
5. DCGAN - Deep Convolutional Generative Adversarial Networks.srt	9.8 KB
/13. Deployment/
1. Introduction to Deployment.mp4	24.6 MB
1. Introduction to Deployment.srt	5.5 KB
2. Creating the Model.mp4	91.3 MB
2. Creating the Model.srt	22.7 KB
3. Model Prediction Function.mp4	55.6 MB
3. Model Prediction Function.srt	12.7 KB
4. Running a Basic Flask Application.mp4	65.0 MB
4. Running a Basic Flask Application.srt	15.5 KB
5. Flask Postman API.mp4	72.5 MB
5. Flask Postman API.srt	15.3 KB
6. Flask API - Using Requests Programmatically.mp4	20.9 MB
6. Flask API - Using Requests Programmatically.srt	5.8 KB
7. Flask Front End.mp4	156.9 MB
7. Flask Front End.srt	26.9 KB
8. Live Deployment to the Web.mp4	132.7 MB
8. Live Deployment to the Web.srt	24.9 KB
/2. COURSE OVERVIEW CONFIRMATION/
1. PLEASE WATCH COURSE OVERVIEW LECTURE.html	0.2 KB
/3. NumPy Crash Course/
1. Introduction to NumPy.mp4	11.9 MB
1. Introduction to NumPy.srt	3.6 KB
2. NumPy Arrays.mp4	92.9 MB
2. NumPy Arrays.srt	28.1 KB
3. Numpy Index Selection.mp4	48.6 MB
3. Numpy Index Selection.srt	15.4 KB
4. NumPy Operations.mp4	51.0 MB
4. NumPy Operations.srt	11.9 KB
5. NumPy Exercises.mp4	12.1 MB
5. NumPy Exercises.srt	2.2 KB
6. Numpy Exercises - Solutions.mp4	50.9 MB
6. Numpy Exercises - Solutions.srt	10.9 KB
/4. Pandas Crash Course/
1. Introduction to Pandas.mp4	26.7 MB
1. Introduction to Pandas.srt	6.3 KB
10. Pandas Exercises - Solutions.mp4	54.0 MB
10. Pandas Exercises - Solutions.srt	10.2 KB
2. Pandas Series.mp4	39.7 MB
2. Pandas Series.srt	12.8 KB
3. Pandas DataFrames - Part One.mp4	47.4 MB
3. Pandas DataFrames - Part One.srt	17.7 KB
4. Pandas DataFrames - Part Two.mp4	38.8 MB
4. Pandas DataFrames - Part Two.srt	13.9 KB
5. Pandas Missing Data.mp4	46.2 MB
5. Pandas Missing Data.srt	15.4 KB
6. GroupBy Operations.mp4	59.1 MB
6. GroupBy Operations.srt	14.3 KB
7. Pandas Operations.mp4	64.2 MB
7. Pandas Operations.srt	19.1 KB
8. Data Input and Output.mp4	98.0 MB
8. Data Input and Output.srt	17.3 KB
9. Pandas Exercises.mp4	24.6 MB
9. Pandas Exercises.srt	4.4 KB
/5. Visualization Crash Course/
1. Introduction to Python Visualization.mp4	7.1 MB
1. Introduction to Python Visualization.srt	2.0 KB
2. Matplotlib Basics.mp4	43.0 MB
2. Matplotlib Basics.srt	13.7 KB
3. Seaborn Basics.mp4	96.3 MB
3. Seaborn Basics.srt	25.0 KB
4. Data Visualization Exercises.mp4	23.9 MB
4. Data Visualization Exercises.srt	5.2 KB
5. Data Visualization Exercises - Solutions.mp4	52.9 MB
5. Data Visualization Exercises - Solutions.srt	11.0 KB
/6. Machine Learning Concepts Overview/
1. What is Machine Learning.mp4	29.6 MB
1. What is Machine Learning.srt	8.3 KB
2. Supervised Learning Overview.mp4	42.0 MB
2. Supervised Learning Overview.srt	12.5 KB
3. Overfitting.mp4	27.6 MB
3. Overfitting.srt	12.1 KB
4. Evaluating Performance - Classification Error Metrics.mp4	86.7 MB
4. Evaluating Performance - Classification Error Metrics.srt	25.3 KB
5. Evaluating Performance - Regression Error Metrics.mp4	24.8 MB
5. Evaluating Performance - Regression Error Metrics.srt	8.6 KB
6. Unsupervised Learning.mp4	19.7 MB
6. Unsupervised Learning.srt	7.2 KB
/7. Basic Artificial Neural Networks - ANNs/
1. Introduction to ANN Section.mp4	10.2 MB
1. Introduction to ANN Section.srt	3.4 KB
10. Keras Syntax Basics - Part Two - Creating and Training the Model.mp4	88.7 MB
10. Keras Syntax Basics - Part Two - Creating and Training the Model.srt	20.4 KB
11. Keras Syntax Basics - Part Three - Model Evaluation.mp4	68.1 MB
11. Keras Syntax Basics - Part Three - Model Evaluation.srt	17.1 KB
12. Keras Regression Code Along - Exploratory Data Analysis.mp4	143.7 MB
12. Keras Regression Code Along - Exploratory Data Analysis.srt	26.5 KB
13. Keras Regression Code Along - Exploratory Data Analysis - Continued.mp4	79.9 MB
13. Keras Regression Code Along - Exploratory Data Analysis - Continued.srt	18.8 KB
14. Keras Regression Code Along - Data Preprocessing and Creating a Model.mp4	49.3 MB
14. Keras Regression Code Along - Data Preprocessing and Creating a Model.srt	12.1 KB
15. Keras Regression Code Along - Model Evaluation and Predictions.mp4	72.3 MB
15. Keras Regression Code Along - Model Evaluation and Predictions.srt	16.2 KB
16. Keras Classification Code Along - EDA and Preprocessing.mp4	58.9 MB
16. Keras Classification Code Along - EDA and Preprocessing.srt	11.4 KB
17. Keras Classification - Dealing with Overfitting and Evaluation.mp4	116.7 MB
17. Keras Classification - Dealing with Overfitting and Evaluation.srt	24.5 KB
18. TensorFlow 2.0 Keras Project Options Overview.mp4	8.2 MB
18. TensorFlow 2.0 Keras Project Options Overview.srt	2.6 KB
19. TensorFlow 2.0 Keras Project Notebook Overview.mp4	84.5 MB
19. TensorFlow 2.0 Keras Project Notebook Overview.srt	12.7 KB
2. Perceptron Model.mp4	50.1 MB
2. Perceptron Model.srt	14.9 KB
20. Keras Project Solutions - Exploratory Data Analysis.mp4	150.6 MB
20. Keras Project Solutions - Exploratory Data Analysis.srt	28.5 KB
21. Keras Project Solutions - Dealing with Missing Data.mp4	101.5 MB
21. Keras Project Solutions - Dealing with Missing Data.srt	20.9 KB
22. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4	89.5 MB
22. Keras Project Solutions - Dealing with Missing Data - Part Two.srt	17.5 KB
23. Keras Project Solutions - Categorical Data.mp4	131.1 MB
23. Keras Project Solutions - Categorical Data.srt	25.6 KB
24. Keras Project Solutions - Data PreProcessing.mp4	25.1 MB
24. Keras Project Solutions - Data PreProcessing.srt	5.1 KB
25. Keras Project Solutions - Creating and Training a Model.mp4	31.2 MB
25. Keras Project Solutions - Creating and Training a Model.srt	6.0 KB
26. Keras Project Solutions - Model Evaluation.mp4	66.2 MB
26. Keras Project Solutions - Model Evaluation.srt	13.7 KB
27. Tensorboard.mp4	151.2 MB
27. Tensorboard.srt	29.4 KB
3. Neural Networks.mp4	37.5 MB
3. Neural Networks.srt	11.0 KB
4. Activation Functions.mp4	65.6 MB
4. Activation Functions.srt	16.4 KB
5. Multi-Class Classification Considerations.mp4	48.1 MB
5. Multi-Class Classification Considerations.srt	16.3 KB
6. Cost Functions and Gradient Descent.mp4	79.3 MB
6. Cost Functions and Gradient Descent.srt	27.7 KB
7. Backpropagation.mp4	60.5 MB
7. Backpropagation.srt	20.8 KB
7.1 Great walkthrough for BackPropagation!.html	0.1 KB
8. TensorFlow vs. Keras Explained.mp4	11.0 MB
8. TensorFlow vs. Keras Explained.srt	3.0 KB
9. Keras Syntax Basics - Part One - Preparing the Data.mp4	53.0 MB
9. Keras Syntax Basics - Part One - Preparing the Data.srt	15.1 KB
/8. Convolutional Neural Networks - CNNs/
1. CNN Section Overview.mp4	7.9 MB
1. CNN Section Overview.srt	2.5 KB
10. CNN on CIFAR-10 - Part Two - Evaluating the Model.mp4	47.5 MB
10. CNN on CIFAR-10 - Part Two - Evaluating the Model.srt	10.7 KB
11. Downloading Data Set for Real Image Lectures.mp4	29.6 MB
11. Downloading Data Set for Real Image Lectures.srt	8.8 KB
11.1 Direct Link to Download cell_images.zip (Note You can't preview a zip file) Just download it..html	0.1 KB
12. CNN on Real Image Files - Part One - Reading in the Data.mp4	84.6 MB
12. CNN on Real Image Files - Part One - Reading in the Data.srt	20.4 KB
13. CNN on Real Image Files - Part Two - Data Processing.mp4	92.2 MB
13. CNN on Real Image Files - Part Two - Data Processing.srt	23.5 KB
14. CNN on Real Image Files - Part Three - Creating the Model.mp4	95.0 MB
14. CNN on Real Image Files - Part Three - Creating the Model.srt	20.1 KB
15. CNN on Real Image Files - Part Four - Evaluating the Model.mp4	49.4 MB
15. CNN on Real Image Files - Part Four - Evaluating the Model.srt	12.3 KB
16. CNN Exercise Overview.mp4	18.7 MB
16. CNN Exercise Overview.srt	3.9 KB
17. CNN Exercise Solutions.mp4	58.7 MB
17. CNN Exercise Solutions.srt	11.9 KB
2. Image Filters and Kernels.mp4	75.9 MB
2. Image Filters and Kernels.srt	18.4 KB
3. Convolutional Layers.mp4	60.8 MB
3. Convolutional Layers.srt	21.3 KB
4. Pooling Layers.mp4	29.0 MB
4. Pooling Layers.srt	10.2 KB
5. MNIST Data Set Overview.mp4	22.1 MB
5. MNIST Data Set Overview.srt	7.1 KB
6. CNN on MNIST - Part One - The Data.mp4	62.7 MB
6. CNN on MNIST - Part One - The Data.srt	18.1 KB
7. CNN on MNIST - Part Two - Creating and Training the Model.mp4	103.7 MB
7. CNN on MNIST - Part Two - Creating and Training the Model.srt	23.9 KB
8. CNN on MNIST - Part Three - Model Evaluation.mp4	40.3 MB
8. CNN on MNIST - Part Three - Model Evaluation.srt	9.8 KB
9. CNN on CIFAR-10 - Part One - The Data.mp4	67.4 MB
9. CNN on CIFAR-10 - Part One - The Data.srt	16.9 KB
/9. Recurrent Neural Networks - RNNs/
1. RNN Section Overview.mp4	11.4 MB
1. RNN Section Overview.srt	4.1 KB
10. RNN on a Time Series - Part One.mp4	47.2 MB
10. RNN on a Time Series - Part One.srt	13.9 KB
11. RNN on a Time Series - Part Two.mp4	137.4 MB
11. RNN on a Time Series - Part Two.srt	32.2 KB
12. RNN Exercise.mp4	31.4 MB
12. RNN Exercise.srt	6.9 KB
13. RNN Exercise - Solutions.mp4	155.3 MB
13. RNN Exercise - Solutions.srt	33.0 KB
14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4	156.6 MB
14. Bonus - Multivariate Time Series - RNN and LSTMs.srt	26.5 KB
2. RNN Basic Theory.mp4	31.4 MB
3. Vanishing Gradients.mp4	29.5 MB
3. Vanishing Gradients.srt	11.1 KB
4. LSTMS and GRU.mp4	44.0 MB
4. LSTMS and GRU.srt	17.1 KB
4.1 Great Blog Post on Exploring LSTM Neurons.html	0.1 KB
4.2 Famous Karpathy Blog Post.html	0.1 KB
4.3 Wikipedia Article Describing LSTM Variants.html	0.1 KB
4.4 How to choose between LSTM vs GRU.html	0.1 KB
5. RNN Batches.mp4	34.3 MB
5. RNN Batches.srt	12.2 KB
6. RNN on a Sine Wave - The Data.mp4	42.1 MB
6. RNN on a Sine Wave - The Data.srt	12.5 KB
7. RNN on a Sine Wave - Batch Generator.mp4	52.5 MB
7. RNN on a Sine Wave - Batch Generator.srt	11.5 KB
8. RNN on a Sine Wave - Creating the Model.mp4	87.9 MB
8. RNN on a Sine Wave - Creating the Model.srt	21.1 KB
9. RNN on a Sine Wave - LSTMs and Forecasting.mp4	87.5 MB
9. RNN on a Sine Wave - LSTMs and Forecasting.srt	18.4 KB
/
[CourseClub.Me].url	0.0 KB
[DesireCourse.Net].url	0.1 KB
[FreeCourseWorld.Com].url	0.1 KB
Total files 240