Egghead - Fully Connected Neural Networks with Keras AhLaN

1. 05-Create a Dense Neural Network for Multi Category Classification with Keras.mp411.51MB
2. 02-Change the Optimizer Learning Rate During Keras Model Training.mp43.59MB
3. 03-Continue to Train an Already Trained Keras Model with New Data.mp43.2MB
4. 04-Course Introduction Fully Connected Neural Networks.mp47.57MB
5. 01-Change the Learning Rate of the Adam Optimizer on a Keras Network.mp46.55MB
6. 06-Create a Fully Connected TensorFlow Neural Network .mp46.64MB
7. 07-Create a Neural Network for Two Category Classification with Keras.mp45.99MB
8. 08-Evaluate a Keras Model with Test Data.mp44.18MB
9. 09-Import Data From a CSV to Use with a Keras Model Using NumPy’s genfromtxt Method.mp44.58MB
10. 10-Load and Use a Saved Keras Model.mp42.25MB
11. 11-Make Binary Class Predictions with Keras Using predict and predict_classes.mp43.9MB
12. 12-Make Predictions on New Data with a Multi Category Classification Network.mp410.7MB
13. 13-Make Predictions on New Data with a Trained Keras Models.mp46.4MB
14. 14-Manually Set Validation Data While Training a Keras Model.mp46.21MB
15. 15-Save a Trained Keras Model Weights and Topology to a File.mp44.39MB
16. 16-Separate Training and Validation Data Automatically in Keras with validation_split.mp49.77MB
17. 17-Testing Different Neural Network Topologies.mp410.53MB
18. 18-Train a Sequential Keras Model with Sample Data.mp45.78MB
19. 19-Understand the Structure of a Keras Model by Viewing the Model Summary.mp43.72MB