Keras Framework provides an easy way to create Deep learning model,can load your dataset with data loaders from folder or CSV files. Basics layers for CNN, RNN models can be implemented from a single line of code, existing activation and optimizers layers are also available with parameters. Your Deep learning models can be saved and their trained weights can be saved and loaded again for training Further. Guide to sequential models, explaining each parameter and how to validate the model with loss and training graph.
How to create a Deep Convolution Neural network with Keras framework, load your custom dataset with ImageDatagenerator, each line of code is explained in detail.
Docs:
keras.io/
Reinforcement Learning Stable Baseline Course:
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15 апр 2020