Daniel Voigt Godoy - Deep Learning with PyTorch Step-by-Step A Beginner’s Guide-leanpub

Preface
If you’re reading this, I probably don’t need to tell you that deep learning is amazing
and PyTorch is cool, right?
But I will tell you, briefly, how this book came to be. In 2016, I started teaching a
class on machine learning with Apache Spark and, a couple of years later, another
class on the fundamentals of machine learning.
At some point, I tried to find a blog post that would visually explain, in a clear and
concise manner, the concepts behind binary cross-entropy so that I could show it
to my students. Since I could not find any that fit my purpose, I decided to write one
myself. Although I thought of it as a fairly basic topic, it turned out to be my most
popular blog post [1] ! My readers have welcomed the simple, straightforward, and
conversational way I explained the topic.
Then, in 2019, I used the same approach for writing another blog post:
"Understanding PyTorch with an example: a step-by-step tutorial." [2] Once again, I
was amazed by the reaction from the readers!
It was their positive feedback that motivated me to write this book to help
beginners start their journey into deep learning and PyTorch. I hope you enjoy
reading this book as much as I enjoyed writing it.
[1] https://bit.ly/2UW5iTg
[2] https://bit.ly/2TpzwxR
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