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Fashion Image Classification using CNNs in Pytorch
  • Level Intermediate
  • Duration 2 hours
  • Offered by

About

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.

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Learn to build Neural Networks using PyTorch in this 1-hour project-based course focused on fashion image classification. Ideal for those in North America, this course covers data preparation, augmentation, model training, and evaluation. Taught by Coursera, it's perfect for professionals looking to dive into deep learning with CNNs. Available with a Starter subscription.