Getting started with Intel Optimized Pytorch inside DevCloud

Introduction

We will look at Intel Optimized Pytorch. We will create a neural using Intel Optimized Pytorch.

Let’s get started

We first login to Intel DevCloud and from get started option we will get into Jupyter Lab.

Then we select the Intel Optimized Pytorch(AI kit)

First we import all necessary libraries

We have imported the neural network from torch module then we also add optimization that is we import Adam.

Then we import DataLoader from Torchvision.To convert images to tensors we use ToTensor()

Why use Adam optimizer

The Adam optimization algorithm is an extension to stochastic gradient descent that has recently seen broader adoption for deep learning applications in computer vision and neural networks.

First we download the dataset then we need to organize the dataset.We pass in 32 images in one go that is one batch.We pass in the train parameter and batch of image.

The download and the process as shown in DevCloud is given below.

Now we create the neural Network

The output looks like follows for each epoch.

Conclusion

We have created a neural network from scratch

We used Intel Optimized Pytorch.

We ran the code entirely in DevCloud

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