How to Code a CNN in PyTorch | Intro to Computer Vision

In this tutorial you will learn how to do optical character recognition with PyTorch. We’re going to code a simple convolutional neural network and use it to classify handwritten digits from the MNIST data set.

We will achieve a 99.9% accuracy on the training data, and a 98.8% accuracy on the testing data. Not too shabby for half an hour of work and a simple convolutional neural network.

#ComputerVision #PyTorch #OCR

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:

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