Deep Learning Projects with PyTorch

Course details

PyTorch is a Deep Learning framework that is a boon for researchers and data scientists. It supports Graphic Processing Units and is a platform that provides maximum flexibility and speed. With PyTorch, you can dynamically build neural networks and easily perform advanced Artificial Intelligence tasks.

The course starts with the fundamentals of PyTorch and how to use basic commands. Next, youll learn about Convolutional Neural Networks (CNN) through an example of image recognition, where youll look into images from a machine perspective.

The next project shows you how to predict character sequence using Recurrent Neural Networks (RNN) and Long Short Term Memory Network (LSTM). Then youll learn to work with autoencoders to detect credit card fraud. After that, its time to develop a system using Boltzmann Machines, where youll recommend whether to watch a movie or not.

Well continue with Boltzmann Machines, where youll learn to give movie ratings using AutoEncoders. In the end, youll get to develop and train a model to recognize a picture or an object from a given image using Deep Learning, where well not only detect the shape, but also the color of the object.

By the end of the course, youll be able to start using PyTorch to build Deep Learning models by implementing practical projects in the real world. So, grab this course as it will take you through interesting real-world projects to train your first neural nets.

About the Author

Ashishsingh Bhatia is a reader and learner at his core. He has more than 11 years of rich experience in different IT sectors, encompassing training, development, and management. He has worked in many domains, such as software development, ERP, banking, and training. He is passionate about Python and Java, and recently he has been exploring R.

He is mostly involved in web and mobile developments in various capacities. He always likes to explore new technologies and share his views and thoughts through various online medium and magazines. He believes in sharing his experience with a new generation and also taking an active part in training and teaching.