CSV loader , weight initialisation function and metrics added #4
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Learning rate changed to 0.05 from 0.1 . Comments added
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Main changes:
Weight Initialization: Added functionality for initializing weights in the neural network . This can be used on different datasets to explore how different initialization methods (e.g., random normal initialization) affect the training process and performance.
CSV Data Loader: Added a function to load training data from a CSV file. The neural network can be trained on any csv data.
This will allow user to check the sensitivity of a particular dataset towards a particular hyperparameter
Metrics : Added metrics functions to monitor loss during training.