
Python Deep Learning Projects | Book
Applied Deep Learning from Data Collection to Production
Python Deep Learning Projects | Book launched on November 2, 2018 with 9 votes, #942 of 2,709 launches that month and more than 50% of that year's launches. The site was not reachable when checked in September 2026.
What it does
This book is perfect for you if you've undertaken at least one course in machine learning and have a modest functional proficiency in Python. We approach deep learning projects from a very practical point of view. In thinking about how to share what we know, our experiences, the strategies that we've learned, and the tactics we employed.
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- ICI co-wrote a book on training Deep Learning models in Go2019 · ▲45
A friend and I wrote a book on how to build and train Deep Learning models in Go. We wanted it to be a useful reference for deep learning basics for Go programmers. Deep Learning is slowly seeping into everything we use every day and we thought it would be great if more people could do it in Go. The book is available here and on Amazon as well. https://www.packtpub.com/big-data-and-business-intelligence/hands-deep-learning-go We would appreciate any feedback and we're always looking to improve.

Simple and comprehensive tutorials in Deep Learning using TensorFlow2018 · github.com · ▲157Simple and comprehensive tutorials in TensorFlow. Contribute to easy-tensorflow/easy-tensorflow development by creating an account on GitHub.
Autocomplete Python with Deep Learning2019 · github.com · ▲109A simple neural network for python autocompletion. Contribute to vpj/python_autocomplete development by creating an account on GitHub.
I built a deep learning engine from scratch in Python2025 · github.com · ▲30I’ve spent the last few months building a deep learning engine completely from scratch in Python (using only math and random). What started as a basic linear algebra calculator project grew into a symbolic tensor system with autodiff, custom matrix ops, attention mechanisms, LayerNorm, GELU, and even a text generation demo trained on the Brown corpus. I'm still an undergrad, so my main goal is to deeply understand how deep learning actually works under the hood - gradients, attention, backpropagation, optimizers - by building it step-by-step with full visibility into everything, and without…
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