How To Debug Deep Learning Programs | A Simple Process Anybody Can Use

Dimensional mismatch problems in deep learning programs can be a pain to debug, but I’ll show you a simple and repeatable process for dealing with them head on.

This comes from an old issue in my github that turns out to be related to a version mismatch with PyTorch. Rather than tell the person to downgrade their install, I’ll show you guys how to fix the dimensional mismatch problem in just a few minutes. This process can be extended to debugging any computer software, python program, or deep learning issue.

Learn how to turn deep reinforcement learning papers into code:

Deep Q Learning:

Actor Critic Methods:

Curiosity Driven Deep Reinforcement Learning

Natural Language Processing from First Principles: Learning Fundamentals

Here are some books / courses I recommend (affiliate links):
Grokking Deep Learning in Motion:
Grokking Deep Learning:
Grokking Deep Reinforcement Learning:

Come hang out on Discord here:


#PyTorch #DeepLearning #Debugging

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