Highlights: Welcome everyone! In this post we will learn how to use PyTorch for building a shallow neural network. If you want to go through a much detailed theoretical explanation about neural networks, and in particular a shallow neural network you can check out these blog posts. So, let’s start implementing one in PyTorch. Tutorial Overview: Data Preparation Define Model Structure Loss Function (Criterion) and Optimizer Model Training Testing our Model Visualize our Predictions 1.…
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Highlights: Welcome everyone! In this post we will cover the main data structure of PyTorch – tensors. Before we proceed with tensors, we will first give a quick overview of what PyTorch is and why it has been popular lately. Next, in the following posts we will use this knowledge to build interesting applications. Tutorial Overview: What is PyTorch?. What is a Tensor? 1. What is PyTorch? PyTorch is an open-source Python framework released from…
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 In this post, we will share with you the 11 most recommended books in computer vision. This would be divided in 5 theoretical and 6 practical books. Note: This is not in particular order.  You should note that most of the books that are here contain a lot of theoretical concepts, focusing on the mathematics behind computer vision. If you getting into computer vision it is recommended to get the theoretical knowledge before jumping right…
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