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05-Create a Dense Neural Network for Multi Category Classification with Keras.mp4
11.51MB
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02-Change the Optimizer Learning Rate During Keras Model Training.mp4
3.59MB
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03-Continue to Train an Already Trained Keras Model with New Data.mp4
3.2MB
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04-Course Introduction Fully Connected Neural Networks.mp4
7.57MB
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01-Change the Learning Rate of the Adam Optimizer on a Keras Network.mp4
6.55MB
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06-Create a Fully Connected TensorFlow Neural Network .mp4
6.64MB
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07-Create a Neural Network for Two Category Classification with Keras.mp4
5.99MB
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08-Evaluate a Keras Model with Test Data.mp4
4.18MB
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09-Import Data From a CSV to Use with a Keras Model Using NumPy’s genfromtxt Method.mp4
4.58MB
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10-Load and Use a Saved Keras Model.mp4
2.25MB
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11-Make Binary Class Predictions with Keras Using predict and predict_classes.mp4
3.9MB
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12-Make Predictions on New Data with a Multi Category Classification Network.mp4
10.7MB
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13-Make Predictions on New Data with a Trained Keras Models.mp4
6.4MB
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14-Manually Set Validation Data While Training a Keras Model.mp4
6.21MB
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15-Save a Trained Keras Model Weights and Topology to a File.mp4
4.39MB
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16-Separate Training and Validation Data Automatically in Keras with validation_split.mp4
9.77MB
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17-Testing Different Neural Network Topologies.mp4
10.53MB
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18-Train a Sequential Keras Model with Sample Data.mp4
5.78MB
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19-Understand the Structure of a Keras Model by Viewing the Model Summary.mp4
3.72MB
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