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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.
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This post includes notations for deep learning.
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This post covers the representation and vectorization of neural networks.
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This post covers the basics about the concept of perceptron in deep learning.
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This post explains the types of machine learning and how the supervised learning works.
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This post covers the Central Limit Theorem (CLT) in probability and statistics.