| 1. Course Overview, Installs, and Setup/2. Course Setup and Installation.mp4 | 152.41 MB |
| 13. Deployment/7. Flask Front End.mp4 | 149.59 MB |
| 9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4 | 149.33 MB |
| 9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.mp4 | 148.08 MB |
| 7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.mp4 | 144.18 MB |
| 7. Basic Artificial Neural Networks - ANNs/20. Keras Project Solutions - Exploratory Data Analysis.mp4 | 143.63 MB |
| 7. Basic Artificial Neural Networks - ANNs/12. Keras Regression Code Along - Exploratory Data Analysis.mp4 | 137.06 MB |
| 12. Generative Adversarial Networks/4. Creating a GAN - Part Three - Model Training.mp4 | 131.58 MB |
| 9. Recurrent Neural Networks - RNNs/11. RNN on a Time Series - Part Two.mp4 | 131.02 MB |
| 13. Deployment/8. Live Deployment to the Web.mp4 | 126.54 MB |
| 7. Basic Artificial Neural Networks - ANNs/23. Keras Project Solutions - Categorical Data.mp4 | 125.03 MB |
| 11. AutoEncoders/3. Autoencoder for Dimensionality Reduction.mp4 | 117.47 MB |
| 7. Basic Artificial Neural Networks - ANNs/17. Keras Classification - Dealing with Overfitting and Evaluation.mp4 | 111.25 MB |
| 1. Course Overview, Installs, and Setup/2.1 FINAL_TF2_FILES.zip.zip | 99.27 MB |
| 1. Course Overview, Installs, and Setup/3.1 FINAL_TF2_FILES.zip.zip | 99.27 MB |
| 8. Convolutional Neural Networks - CNNs/7. CNN on MNIST - Part Two - Creating and Training the Model.mp4 | 98.92 MB |
| 7. Basic Artificial Neural Networks - ANNs/21. Keras Project Solutions - Dealing with Missing Data.mp4 | 96.78 MB |
| 11. AutoEncoders/4. Autoencoder for Images - Part One.mp4 | 94.09 MB |
| 4. Pandas Crash Course/8. Data Input and Output.mp4 | 93.48 MB |
| 5. Visualization Crash Course/3. Seaborn Basics.mp4 | 91.85 MB |
| 8. Convolutional Neural Networks - CNNs/14. CNN on Real Image Files - Part Three - Creating the Model.mp4 | 90.63 MB |
| 3. NumPy Crash Course/2. NumPy Arrays.mp4 | 88.58 MB |
| 8. Convolutional Neural Networks - CNNs/13. CNN on Real Image Files - Part Two - Data Processing.mp4 | 87.92 MB |
| 13. Deployment/2. Creating the Model.mp4 | 87.07 MB |
| 7. Basic Artificial Neural Networks - ANNs/22. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 | 85.4 MB |
| 7. Basic Artificial Neural Networks - ANNs/10. Keras Syntax Basics - Part Two - Creating and Training the Model.mp4 | 84.64 MB |
| 9. Recurrent Neural Networks - RNNs/8. RNN on a Sine Wave - Creating the Model.mp4 | 83.8 MB |
| 9. Recurrent Neural Networks - RNNs/9. RNN on a Sine Wave - LSTMs and Forecasting.mp4 | 83.49 MB |
| 6. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4 | 82.69 MB |
| 10. Natural Language Processing/4. NLP - Part Three - Creating Batches.mp4 | 81.69 MB |
| 8. Convolutional Neural Networks - CNNs/12. CNN on Real Image Files - Part One - Reading in the Data.mp4 | 80.69 MB |
| 7. Basic Artificial Neural Networks - ANNs/19. TensorFlow 2.0 Keras Project Notebook Overview.mp4 | 80.56 MB |
| 11. AutoEncoders/7. Autoencoder Exercise - Solutions.mp4 | 77.76 MB |
| 7. Basic Artificial Neural Networks - ANNs/13. Keras Regression Code Along - Exploratory Data Analysis - Continued.mp4 | 76.18 MB |
| 7. Basic Artificial Neural Networks - ANNs/6. Cost Functions and Gradient Descent.mp4 | 75.67 MB |
| 8. Convolutional Neural Networks - CNNs/2. Image Filters and Kernels.mp4 | 72.34 MB |
| 12. Generative Adversarial Networks/3. Creating a GAN - Part Two - The Model.mp4 | 69.8 MB |
| 13. Deployment/5. Flask Postman API.mp4 | 69.11 MB |
| 7. Basic Artificial Neural Networks - ANNs/15. Keras Regression Code Along - Model Evaluation and Predictions.mp4 | 68.91 MB |
| 10. Natural Language Processing/6. NLP - Part Five - Training the Model.mp4 | 65.26 MB |
| 7. Basic Artificial Neural Networks - ANNs/11. Keras Syntax Basics - Part Three - Model Evaluation.mp4 | 64.96 MB |
| 10. Natural Language Processing/5. NLP - Part Four - Creating the Model.mp4 | 64.31 MB |
| 8. Convolutional Neural Networks - CNNs/9. CNN on CIFAR-10 - Part One - The Data.mp4 | 64.31 MB |
| 7. Basic Artificial Neural Networks - ANNs/26. Keras Project Solutions - Model Evaluation.mp4 | 63.17 MB |
| 7. Basic Artificial Neural Networks - ANNs/4. Activation Functions.mp4 | 62.52 MB |
| 13. Deployment/4. Running a Basic Flask Application.mp4 | 62.02 MB |
| 4. Pandas Crash Course/7. Pandas Operations.mp4 | 61.21 MB |
| 11. AutoEncoders/5. Autoencoder for Images - Part Two - Noise Removal.mp4 | 60.51 MB |
| 8. Convolutional Neural Networks - CNNs/6. CNN on MNIST - Part One - The Data.mp4 | 59.82 MB |
| 8. Convolutional Neural Networks - CNNs/3. Convolutional Layers.mp4 | 58 MB |