Chapter 1: Practical Introduction to Deep Learning with PyTorch

A few weeks ago, I was having a chat with my friend when he asked me to teach him Deep Learning in the simplest way possible. The first step was defining what Deep Learning is, so I wrote an article on Deep Learning in a comical style, and he enjoyed it greatly, you can read this article here. Now, he has requested that I teach practical Deep Learning. In this article, I will attempt to explain Deep Learning in a straightforward manner. So, here is the plan of action:

1. Setting up Environment
2. Introduction to the Dataset: MNIST
3. Lets see some examples
4. Building a Simple Neural Network
5. Training the Model
6. Evaluating the Model
7. View Results
8. Conclusion and Next Steps

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