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Download /[GigaCourse.Com] Udemy - Neural Networks in Python Deep Learning for Beginners/10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4

GigaCourse Com Udemy Neural Networks in Python Deep Learning for Beginners

10 Python Building and training the Model Evaluating performance and Predicting using Keras mp4

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[GigaCourse.Com] Udemy - Neural Networks in Python Deep Learning for Beginners

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Last Seen

2025-08-05 23:52

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80AA6AF974E64390EA56891569DC41B0A7F127DD

/10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4

73.3 MB

/10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.srt

9.2 KB

/10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4

83.0 MB

/10. Python - Building and training the Model/1. Different ways to create ANN using Keras.mp4

11.3 MB

/10. Python - Building and training the Model/2. Building the Neural Network using Keras.srt

12.2 KB

/10. Python - Building and training the Model/1. Different ways to create ANN using Keras.srt

1.9 KB

/10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4

85.7 MB

/10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.srt

9.8 KB

/13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4

158.9 MB

/13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.srt

19.2 KB

/9. Python - Dataset for classification problem/2. Normalization and Test-Train split.mp4

46.3 MB

/15. Add-on 1 Data Preprocessing/14. Variable transformation and deletion in Python.mp4

46.2 MB

/8. Tensorflow and Keras/2. Installing Tensorflow and Keras.mp4

21.0 MB

/9. Python - Dataset for classification problem/1. Dataset for classification.mp4

58.8 MB

/2. Setting up Python and Jupyter Notebook/1. Installing Python and Anaconda.mp4

17.1 MB

 

Showing first 15 files of 139 total files


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