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Machine Learning, Scholarly, Tutorial
Building Neural Networks with Python Code and Math in Detail — II
The second part of our tutorial on neural networks from scratch. From the math behind them to step-by-step implementation case studies in Python. Launch the samples on Google Colab.
Published in
22 min readJun 30, 2020
Last updated January 7, 2021
Author(s): Pratik Shukla, Roberto Iriondo
In the first part of our tutorial on neural networks, we explained the basic concepts about neural networks, from the math behind them to implementing neural networks in Python without any hidden layers. We showed how to make satisfactory predictions even in case scenarios where we did not use any hidden layers. However, there are several limitations to single-layer neural networks.
In this tutorial, we will dive in-depth into the limitations and advantages of using neural networks in machine learning. We will show how to implement neural nets…
