Deep Learning with PyTorch
Start your deep learning journey with PyTorch
Created by Anand Saha
Get hands-on with PyTorch and learn how to build and train deep learning models for real-world tasks. You will work with neural networks that handle images, text, and more, while gaining practical experience with one of the most popular deep learning libraries.
Packt | Apr 2018 | 282 min
What You Will Learn
You will start by exploring the basics of PyTorch and quickly move into building neural networks from scratch. Through practical coding exercises, you will apply deep learning concepts to tasks like image recognition, text generation, and reinforcement learning. Each topic is paired with hands-on projects to reinforce your understanding.
Key Features
- Build and train neural networks for images, text, and sequential data
- Apply convolutional and recurrent neural networks to real-world problems
- Use autoencoders and reinforcement learning for advanced machine learning tasks
Target Audience
Ideal for Python programmers with some machine learning experience who want to deepen their skills in deep learning. If you are comfortable with Python and basic math concepts, and want to use PyTorch to solve practical machine learning problems, you will find this course a great fit.
