Egghead - Fully Connected Neural Networks with Keras [AhLaN]
大小
117.5 MB
文件数
21
Info Hash:
422681A76704F255B3E1D2047C260AFCC4310A7A
收录时间
2025-12-18 05:02:11
更新时间
2025-12-18 05:02:11
文件列表 (21)
05-Create a Dense Neural Network for Multi Category Classification with Keras.mp4
11.51 MB
02-Change the Optimizer Learning Rate During Keras Model Training.mp4
3.59 MB
03-Continue to Train an Already Trained Keras Model with New Data.mp4
3.2 MB
04-Course Introduction Fully Connected Neural Networks.mp4
7.57 MB
01-Change the Learning Rate of the Adam Optimizer on a Keras Network.mp4
6.55 MB
06-Create a Fully Connected TensorFlow Neural Network .mp4
6.64 MB
07-Create a Neural Network for Two Category Classification with Keras.mp4
5.99 MB
08-Evaluate a Keras Model with Test Data.mp4
4.18 MB
09-Import Data From a CSV to Use with a Keras Model Using NumPy’s genfromtxt Method.mp4
4.58 MB
10-Load and Use a Saved Keras Model.mp4
2.25 MB
11-Make Binary Class Predictions with Keras Using predict and predict_classes.mp4
3.9 MB
12-Make Predictions on New Data with a Multi Category Classification Network.mp4
10.7 MB
13-Make Predictions on New Data with a Trained Keras Models.mp4
6.4 MB
14-Manually Set Validation Data While Training a Keras Model.mp4
6.21 MB
15-Save a Trained Keras Model Weights and Topology to a File.mp4
4.39 MB
16-Separate Training and Validation Data Automatically in Keras with validation_split.mp4
9.77 MB
17-Testing Different Neural Network Topologies.mp4
10.53 MB
18-Train a Sequential Keras Model with Sample Data.mp4
5.78 MB
19-Understand the Structure of a Keras Model by Viewing the Model Summary.mp4
3.72 MB