One of my pet peeves is building things from scratch. I guess that's my way of truly mastering a subject. So, I wrote a deep learning framework in NumPy, and in this series, I'll share what I learned.
In the first episode (Introduction to Computational Graphs), we’ve learned
what computational graphs are,
and how they are constructed in practice.
Now, we continue the journey by using computational graphs to train neural networks. To follow along with the code, check out notebook one (the linear regression part) and notebook two (the neural network part)!
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