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A neural network implementation can be a nice addition to a Python programmer's skill set. If you're new to Python, examining a neural network implementation is a great way to learn the language.
Implementing neural networks in Python using libraries is relatively easy. TensorFlow and PyTorch are two popular libraries for implementing neural networks in Python.
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Dropout In Neural Networks — Prevent Overfitting Like A Pro (With Python)
This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.
Learn With Jay on MSN16d
L2 Regularization From Scratch — Python Implementation Included
This video is an overall package to understand L2 Regularization Neural Network and then implement it in Python from scratch. L2 Regularization neural network it a technique to overcome overfitting.
A neural network implementation can be a nice addition to a Python programmer's skill set. If you're new to Python, examining a neural network implementation is a great way to learn the language.
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