Fashion Image Classification using CNNs in Pytorch

In this 1-hour long project-based course, you will learn how to create Neural Networks in the Deep Learning Framework PyTorch. We will creating a Convolutional Neural Network for a 10 Class Image Classification problem which can be extended to more classes. We will start off by looking at how perform data preparation and Augmentation in Pytorch. We will be building a Neural Network in Pytorch. We will add the Convolutional Layers as well as Linear Layers. We will then look at how to add optimizer and train the model. Finally, we will test and evaluate our model on test data. The project will get you introduced with Pytorch. You will in the end understand how the framework works and get you started with building Neural Networks in Pytorch. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

• Project Overview
• Welcome to this Guided Project on Fashion Image Classification using CNNs in Pytorch. In this project, you will learn the step by step process of how to train a Convolutional Neural Network in the Deep Learning Framework developed by Facebook, Pytorch. We will start with data preparation and augmentation followed by building the neural network then training the model by defining loss and and finally testing and evaluating the model.