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Neural Networks from Scratch For Beginner and Also For Experts
NN-from-Scratch Neural Networks from Scratch ¶ Chia-Hung Yuan & DataLab Fall 2020 In this tutorial, you will learn the fundamentals of how you can build neural networks without the help of the deep learning frameworks, and instead by using NumPy. Creating complex neural networks with different architectures in Python should be a standard practice for any Machine Learning Engineer and Data Scientist. But a genuine understanding of how a neural network works is equally as valuable. This is what we aim to expand on in this article, the very fundamentals on how we can build neural networks, without the help of the frameworks that make it easy for us. Model architecture ¶ We are building a basic deep neural network with 3 layers in total: 1 input layer, 1 hidden layers and 1 output layer. All layers will be fully connected. We implement ReLU and sigmoid activation functions. SGD and Momentum optimizer are available. Let'...
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