| 1. CNN Section Overview.mp4 | 7.5 MB | ||
| 1. CNN Section Overview.srt | 2.5 KB | ||
| 1. Course Overview.mp4 | 26.2 MB | ||
| 1. Course Overview.srt | 7.5 KB | ||
| 1. GANs Overview.mp4 | 53.9 MB | ||
| 1. GANs Overview.srt | 11.7 KB | ||
| 1. Introduction to ANN Section.mp4 | 9.7 MB | ||
| 1. Introduction to ANN Section.srt | 3.3 KB | ||
| 1. Introduction to Autoencoders.mp4 | 20.9 MB | ||
| 1. Introduction to Deployment.mp4 | 23.4 MB | ||
| 1. Introduction to Deployment.srt | 5.4 KB | ||
| 1. Introduction to NLP Section.mp4 | 35.1 MB | ||
| 1. Introduction to NLP Section.srt | 8.8 KB | ||
| 1. Introduction to NumPy.mp4 | 11.4 MB | ||
| 1. Introduction to NumPy.srt | 3.5 KB | ||
| 1. Introduction to Pandas.mp4 | 25.5 MB | ||
| 1. Introduction to Pandas.srt | 6.1 KB | ||
| 1. Introduction to Python Visualization.mp4 | 6.8 MB | ||
| 1. Introduction to Python Visualization.srt | 2 KB | ||
| 1. PLEASE WATCH COURSE OVERVIEW LECTURE.html | 204 B | ||
| 1. RNN Section Overview.mp4 | 10.9 MB | ||
| 1. RNN Section Overview.srt | 4 KB | ||
| 1. What is Machine Learning.mp4 | 28.2 MB | ||
| 1. What is Machine Learning.srt | 8.1 KB | ||
| 10. CNN on CIFAR-10 - Part Two - Evaluating the Model.mp4 | 45.3 MB | ||
| 10. CNN on CIFAR-10 - Part Two - Evaluating the Model.srt | 10.5 KB | ||
| 10. Keras Syntax Basics - Part Two - Creating and Training the Model.mp4 | 84.6 MB | ||
| 10. Keras Syntax Basics - Part Two - Creating and Training the Model.srt | 19.9 KB | ||
| 10. Pandas Exercises - Solutions.mp4 | 51.5 MB | ||
| 10. Pandas Exercises - Solutions.srt | 10 KB | ||
| 10. RNN on a Time Series - Part One.mp4 | 45 MB | ||
| 10. RNN on a Time Series - Part One.srt | 13.5 KB | ||
| 11. Downloading Data Set for Real Image Lectures.mp4 | 28.2 MB | ||
| 11. Downloading Data Set for Real Image Lectures.srt | 8.6 KB | ||
| 11. Keras Syntax Basics - Part Three - Model Evaluation.mp4 | 65 MB | ||
| 11. Keras Syntax Basics - Part Three - Model Evaluation.srt | 16.7 KB | ||
| 11. RNN on a Time Series - Part Two.mp4 | 131 MB | ||
| 11. RNN on a Time Series - Part Two.srt | 31.4 KB | ||
| 11.1 Direct Link to Download cell_images.zip (Note You can't preview a zip file) Just download it..html | 102 B | ||
| 12. CNN on Real Image Files - Part One - Reading in the Data.mp4 | 80.7 MB | ||
| 12. CNN on Real Image Files - Part One - Reading in the Data.srt | 19.9 KB | ||
| 12. Keras Regression Code Along - Exploratory Data Analysis.mp4 | 137.1 MB | ||
| 12. Keras Regression Code Along - Exploratory Data Analysis.srt | 25.8 KB | ||
| 12. RNN Exercise.mp4 | 29.9 MB | ||
| 12. RNN Exercise.srt | 6.7 KB | ||
| 13. CNN on Real Image Files - Part Two - Data Processing.mp4 | 87.9 MB | ||
| 13. CNN on Real Image Files - Part Two - Data Processing.srt | 22.9 KB | ||
| 13. Keras Regression Code Along - Exploratory Data Analysis - Continued.mp4 | 76.2 MB | ||
| 13. Keras Regression Code Along - Exploratory Data Analysis - Continued.srt | 18.4 KB | ||
| 13. RNN Exercise - Solutions.mp4 | 148.1 MB | ||
| 13. RNN Exercise - Solutions.srt | 32.2 KB | ||
| 14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4 | 149.3 MB | ||
| 14. Bonus - Multivariate Time Series - RNN and LSTMs.srt | 25.9 KB | ||
| 14. CNN on Real Image Files - Part Three - Creating the Model.mp4 | 90.6 MB | ||
| 14. CNN on Real Image Files - Part Three - Creating the Model.srt | 19.6 KB | ||
| 14. Keras Regression Code Along - Data Preprocessing and Creating a Model.mp4 | 47 MB | ||
| 14. Keras Regression Code Along - Data Preprocessing and Creating a Model.srt | 11.8 KB | ||
| 15. CNN on Real Image Files - Part Four - Evaluating the Model.mp4 | 47.1 MB | ||
| 15. CNN on Real Image Files - Part Four - Evaluating the Model.srt | 12 KB | ||
| 15. Keras Regression Code Along - Model Evaluation and Predictions.mp4 | 68.9 MB | ||
| 15. Keras Regression Code Along - Model Evaluation and Predictions.srt | 15.9 KB | ||
| 16. CNN Exercise Overview.mp4 | 17.9 MB | ||
| 16. CNN Exercise Overview.srt | 3.8 KB | ||
| 16. Keras Classification Code Along - EDA and Preprocessing.mp4 | 56.2 MB | ||
| 16. Keras Classification Code Along - EDA and Preprocessing.srt | 11.2 KB | ||
| 17. CNN Exercise Solutions.mp4 | 56 MB | ||
| 17. CNN Exercise Solutions.srt | 11.6 KB | ||
| 17. Keras Classification - Dealing with Overfitting and Evaluation.mp4 | 111.2 MB | ||
| 17. Keras Classification - Dealing with Overfitting and Evaluation.srt | 23.9 KB | ||
| 18. TensorFlow 2.0 Keras Project Options Overview.mp4 | 7.9 MB | ||
| 18. TensorFlow 2.0 Keras Project Options Overview.srt | 2.5 KB | ||
| 19. TensorFlow 2.0 Keras Project Notebook Overview.mp4 | 80.6 MB | ||
| 19. TensorFlow 2.0 Keras Project Notebook Overview.srt | 12.4 KB | ||
| 2. Autoencoder Basics.mp4 | 42.6 MB | ||
| 2. Autoencoder Basics.srt | 11.4 KB | ||
| 2. Course Setup and Installation.mp4 | 152.4 MB | ||
| 2. Course Setup and Installation.srt | 34.6 KB | ||
| 2. Creating a GAN - Part One- The Data.mp4 | 19.1 MB | ||
| 2. Creating a GAN - Part One- The Data.srt | 6.5 KB | ||
| 2. Creating the Model.mp4 | 87.1 MB | ||
| 2. Creating the Model.srt | 22.2 KB | ||
| 2. Image Filters and Kernels.mp4 | 72.3 MB | ||
| 2. Image Filters and Kernels.srt | 17.9 KB | ||
| 2. Matplotlib Basics.mp4 | 41 MB | ||
| 2. Matplotlib Basics.srt | 13.4 KB | ||
| 2. NLP - Part One - The Data.mp4 | 22.3 MB | ||
| 2. NLP - Part One - The Data.srt | 6.9 KB | ||
| 2. NumPy Arrays.mp4 | 88.6 MB | ||
| 2. NumPy Arrays.srt | 27.4 KB | ||
| 2. Pandas Series.mp4 | 37.9 MB | ||
| 2. Pandas Series.srt | 12.5 KB | ||
| 2. Perceptron Model.mp4 | 47.8 MB | ||
| 2. Perceptron Model.srt | 14.6 KB | ||
| 2. RNN Basic Theory.mp4 | 30 MB | ||
| 2. Supervised Learning Overview.mp4 | 40 MB | ||
| 2. Supervised Learning Overview.srt | 12.3 KB | ||
| 2.1 FINAL_TF2_FILES.zip.zip | 99.3 MB | ||
| 2.2 requirements.txt.txt | 102 B | ||
| 20. Keras Project Solutions - Exploratory Data Analysis.mp4 | 143.6 MB | ||
| 20. Keras Project Solutions - Exploratory Data Analysis.srt | 27.9 KB | ||
| 21. Keras Project Solutions - Dealing with Missing Data.mp4 | 96.8 MB | ||
| 21. Keras Project Solutions - Dealing with Missing Data.srt | 20.4 KB | ||
| 22. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 | 85.4 MB | ||
| 22. Keras Project Solutions - Dealing with Missing Data - Part Two.srt | 17.1 KB | ||
| 23. Keras Project Solutions - Categorical Data.mp4 | 125 MB | ||
| 23. Keras Project Solutions - Categorical Data.srt | 25 KB | ||
| 24. Keras Project Solutions - Data PreProcessing.mp4 | 24 MB | ||
| 24. Keras Project Solutions - Data PreProcessing.srt | 5 KB | ||
| 25. Keras Project Solutions - Creating and Training a Model.mp4 | 29.7 MB | ||
| 25. Keras Project Solutions - Creating and Training a Model.srt | 5.9 KB | ||
| 26. Keras Project Solutions - Model Evaluation.mp4 | 63.2 MB | ||
| 26. Keras Project Solutions - Model Evaluation.srt | 13.4 KB | ||
| 27. Tensorboard.mp4 | 144.2 MB | ||
| 27. Tensorboard.srt | 28.7 KB | ||
| 3. Autoencoder for Dimensionality Reduction.mp4 | 117.5 MB | ||
| 3. Autoencoder for Dimensionality Reduction.srt | 28 KB | ||
| 3. Convolutional Layers.mp4 | 58 MB | ||
| 3. Convolutional Layers.srt | 20.8 KB | ||
| 3. Creating a GAN - Part Two - The Model.mp4 | 69.8 MB | ||
| 3. Creating a GAN - Part Two - The Model.srt | 17.3 KB | ||
| 3. FAQ - Frequently Asked Questions.html | 5.3 KB | ||
| 3. Model Prediction Function.mp4 | 53 MB | ||
| 3. Model Prediction Function.srt | 12.4 KB | ||
| 3. NLP - Part Two - Text Processing.mp4 | 22.9 MB | ||
| 3. NLP - Part Two - Text Processing.srt | 5.9 KB | ||
| 3. Neural Networks.mp4 | 35.8 MB | ||
| 3. Neural Networks.srt | 10.8 KB | ||
| 3. Numpy Index Selection.mp4 | 46.4 MB | ||
| 3. Numpy Index Selection.srt | 15.1 KB | ||
| 3. Overfitting.mp4 | 26.3 MB | ||
| 3. Overfitting.srt | 11.8 KB | ||
| 3. Pandas DataFrames - Part One.mp4 | 45.2 MB | ||
| 3. Pandas DataFrames - Part One.srt | 17.3 KB | ||
| 3. Seaborn Basics.mp4 | 91.8 MB | ||
| 3. Seaborn Basics.srt | 24.4 KB | ||
| 3. Vanishing Gradients.mp4 | 28.1 MB | ||
| 3. Vanishing Gradients.srt | 10.8 KB | ||
| 3.1 FINAL_TF2_FILES.zip.zip | 99.3 MB | ||
| 4. Activation Functions.mp4 | 62.5 MB | ||
| 4. Activation Functions.srt | 16.1 KB | ||
| 4. Autoencoder for Images - Part One.mp4 | 94.1 MB | ||
| 4. Autoencoder for Images - Part One.srt | 23.5 KB | ||
| 4. Creating a GAN - Part Three - Model Training.mp4 | 131.6 MB | ||
| 4. Creating a GAN - Part Three - Model Training.srt | 34.2 KB | ||
| 4. Data Visualization Exercises.mp4 | 22.8 MB | ||
| 4. Data Visualization Exercises.srt | 5.1 KB | ||
| 4. Evaluating Performance - Classification Error Metrics.mp4 | 82.7 MB | ||
| 4. Evaluating Performance - Classification Error Metrics.srt | 24.7 KB | ||
| 4. LSTMS and GRU.mp4 | 41.9 MB | ||
| 4. LSTMS and GRU.srt | 16.7 KB | ||
| 4. NLP - Part Three - Creating Batches.mp4 | 81.7 MB | ||
| 4. NLP - Part Three - Creating Batches.srt | 17.9 KB | ||
| 4. NumPy Operations.mp4 | 48.6 MB | ||
| 4. NumPy Operations.srt | 11.7 KB | ||
| 4. Pandas DataFrames - Part Two.mp4 | 37 MB | ||
| 4. Pandas DataFrames - Part Two.srt | 13.6 KB | ||
| 4. Pooling Layers.mp4 | 27.6 MB | ||
| 4. Pooling Layers.srt | 9.9 KB | ||
| 4. Running a Basic Flask Application.mp4 | 62 MB | ||
| 4. Running a Basic Flask Application.srt | 15.2 KB | ||
| 4.1 Great Blog Post on Exploring LSTM Neurons.html | 102 B | ||
| 4.2 Famous Karpathy Blog Post.html | 102 B | ||
| 4.3 Wikipedia Article Describing LSTM Variants.html | 102 B | ||
| 4.4 How to choose between LSTM vs GRU.html | 102 B | ||
| 5. Autoencoder for Images - Part Two - Noise Removal.mp4 | 60.5 MB | ||
| 5. Autoencoder for Images - Part Two - Noise Removal.srt | 11.3 KB | ||
| 5. DCGAN - Deep Convolutional Generative Adversarial Networks.mp4 | 57.2 MB | ||
| 5. DCGAN - Deep Convolutional Generative Adversarial Networks.srt | 9.6 KB | ||
| 5. Data Visualization Exercises - Solutions.mp4 | 50.5 MB | ||
| 5. Data Visualization Exercises - Solutions.srt | 10.8 KB | ||
| 5. Evaluating Performance - Regression Error Metrics.mp4 | 23.7 MB | ||
| 5. Evaluating Performance - Regression Error Metrics.srt | 8.4 KB | ||
| 5. Flask Postman API.mp4 | 69.1 MB | ||
| 5. Flask Postman API.srt | 15 KB | ||
| 5. MNIST Data Set Overview.mp4 | 21.1 MB | ||
| 5. MNIST Data Set Overview.srt | 6.9 KB | ||
| 5. Multi-Class Classification Considerations.mp4 | 45.9 MB | ||
| 5. Multi-Class Classification Considerations.srt | 15.9 KB | ||
| 5. NLP - Part Four - Creating the Model.mp4 | 64.3 MB | ||
| 5. NLP - Part Four - Creating the Model.srt | 14.3 KB | ||
| 5. NumPy Exercises.mp4 | 11.5 MB | ||
| 5. NumPy Exercises.srt | 2.1 KB | ||
| 5. Pandas Missing Data.mp4 | 44.1 MB | ||
| 5. Pandas Missing Data.srt | 15 KB | ||
| 5. RNN Batches.mp4 | 32.7 MB | ||
| 5. RNN Batches.srt | 11.9 KB | ||
| 6. Autoencoder Exercise Overview.mp4 | 33.9 MB | ||
| 6. Autoencoder Exercise Overview.srt | 5.2 KB | ||
| 6. CNN on MNIST - Part One - The Data.mp4 | 59.8 MB | ||
| 6. CNN on MNIST - Part One - The Data.srt | 17.7 KB | ||
| 6. Cost Functions and Gradient Descent.mp4 | 75.7 MB | ||
| 6. Cost Functions and Gradient Descent.srt | 27 KB | ||
| 6. Flask API - Using Requests Programmatically.mp4 | 19.9 MB | ||
| 6. Flask API - Using Requests Programmatically.srt | 5.7 KB | ||
| 6. GroupBy Operations.mp4 | 56.4 MB | ||
| 6. GroupBy Operations.srt | 14 KB | ||
| 6. NLP - Part Five - Training the Model.mp4 | 65.3 MB | ||
| 6. NLP - Part Five - Training the Model.srt | 13.8 KB | ||
| 6. Numpy Exercises - Solutions.mp4 | 48.6 MB | ||
| 6. Numpy Exercises - Solutions.srt | 10.7 KB | ||
| 6. RNN on a Sine Wave - The Data.mp4 | 40.1 MB | ||
| 6. RNN on a Sine Wave - The Data.srt | 12.2 KB | ||
| 6. Unsupervised Learning.mp4 | 18.8 MB | ||
| 6. Unsupervised Learning.srt | 7 KB | ||
| 7. Autoencoder Exercise - Solutions.mp4 | 77.8 MB | ||
| 7. Autoencoder Exercise - Solutions.srt | 13.9 KB | ||
| 7. Backpropagation.mp4 | 57.7 MB | ||
| 7. Backpropagation.srt | 20.3 KB | ||
| 7. CNN on MNIST - Part Two - Creating and Training the Model.mp4 | 98.9 MB | ||
| 7. CNN on MNIST - Part Two - Creating and Training the Model.srt | 23.3 KB | ||
| 7. Flask Front End.mp4 | 149.6 MB | ||
| 7. Flask Front End.srt | 26.3 KB | ||
| 7. NLP - Part Six - Generating Text.mp4 | 52.3 MB | ||
| 7. NLP - Part Six - Generating Text.srt | 11.7 KB | ||
| 7. Pandas Operations.mp4 | 61.2 MB | ||
| 7. Pandas Operations.srt | 18.7 KB | ||
| 7. RNN on a Sine Wave - Batch Generator.mp4 | 50 MB | ||
| 7. RNN on a Sine Wave - Batch Generator.srt | 11.3 KB | ||
| 7.1 Great walkthrough for BackPropagation!.html | 102 B | ||
| 8. CNN on MNIST - Part Three - Model Evaluation.mp4 | 38.5 MB | ||
| 8. CNN on MNIST - Part Three - Model Evaluation.srt | 9.5 KB | ||
| 8. Data Input and Output.mp4 | 93.5 MB | ||
| 8. Data Input and Output.srt | 16.9 KB | ||
| 8. Live Deployment to the Web.mp4 | 126.5 MB | ||
| 8. Live Deployment to the Web.srt | 24.4 KB | ||
| 8. RNN on a Sine Wave - Creating the Model.mp4 | 83.8 MB | ||
| 8. RNN on a Sine Wave - Creating the Model.srt | 20.6 KB | ||
| 8. TensorFlow vs. Keras Explained.mp4 | 10.5 MB | ||
| 8. TensorFlow vs. Keras Explained.srt | 2.9 KB | ||
| 9. CNN on CIFAR-10 - Part One - The Data.mp4 | 64.3 MB | ||
| 9. CNN on CIFAR-10 - Part One - The Data.srt | 16.5 KB | ||
| 9. Keras Syntax Basics - Part One - Preparing the Data.mp4 | 50.5 MB | ||
| 9. Keras Syntax Basics - Part One - Preparing the Data.srt | 14.7 KB | ||
| 9. Pandas Exercises.mp4 | 23.5 MB | ||
| 9. Pandas Exercises.srt | 4.3 KB | ||
| 9. RNN on a Sine Wave - LSTMs and Forecasting.mp4 | 83.5 MB | ||
| 9. RNN on a Sine Wave - LSTMs and Forecasting.srt | 17.9 KB | ||
| [CourseClub.Me].url | 0 B | ||
| [DesireCourse.Net].url | 0 B | ||
| [FreeCourseWorld.Com].url | 102 B | ||
| ▲ 240 total files | |||
Complete Tensorflow 2 and Keras Deep Learning Bootcamp
Learn to use Python for Deep Learning with Google's latest Tensorflow 2 library and Keras!
For More Courses Visit: https://desirecourse.net
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