Explaining Feedforw...

Explaining Feedforward, Backpropagation and Optimization: The Math Explained Clearly with Visualizations. I took the time to write this long article (>5k words), and I hope it helps someone understand neural networks better.  


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Joined: 1 year ago
Posts: 1
05/08/2019 1:08 pm  

Link: <a title="Neural Networks: Feedforward and Backpropagation Explained & Optimization" href=" removed link " target="true">mlfromscratch / neural networks explained

I have been studying Machine Learning in the last few months, and I wanted to really get to understand everything that goes on in a basic neural network (excluding the many architectures). Therefore, I took the time to write this long article, to explain what I have learned. In particular, the post on purpose very extensive and goes into the smaller details; this is to have everything in one place. As the site says, it is machine learning from scratch, and I share what I have learned.

The particular reason for posting here, is that I hope someone else could learn from this. The goal is to share the knowledge in the easiest absorbable way possible. I tried to visualize much of the process going on in neural networks, but I also went through the math, to the detail of the partial derivatives.

This was quite a journey, and it took about 1 month to read all the things I have read, and write it down, have it make sense and creating the graphics.

Any constructive feedback is appreciated.

This topic was modified 1 year ago by permalip


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