Neural networks form the base of deep learning, which is a subfield of **machine learning**, where the structure of the human brain inspires the algorithms. Neural networks take input data, train themselves to recognize patterns found in the data, and then predict the output for a new set of similar data. Therefore, a neural network can be thought of as the functional unit of deep learning, which mimics the behavior of the human brain to solve complex data-driven problems.

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Jun 22, 2020

# 手把手从头实现神经网络(w/数学原理)

手把手从头实现神经网络(w/数学原理)

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