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This post explains TensorFlow.
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This post describes how to create a simple neural network to recognize images in the Fashion MNIST dataset.
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This post discusses about the back propagation process of a neural network. Python code implementation is also provided.
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This post discusses the loss functions used in deep learning.
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This post discusses about the forward propagation process of a neural network. Python code implementation is also provided.
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This post discusses about the activation functions with Python implementations.
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This post covers the basics about the neural networks.
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This post gives some notes on Python numpy vectors.
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This post discusses about the vectorization process in deep learning. Python code implementation is also provided.
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This post includes notations for the weights in neural networks.