PyTorch Deep Learning in 7 Days: Boost your career in one week with the cutting-edge field of Deep Learning with PyTorch

Key benefits

• A systematic guide on Deep Learning to help you build smart applications
• Cover core concepts and architectures of Deep Learning systems without getting bogged down in mathematical notation
• Solve Machine Learning problems by applying Deep Learning architectures

Description

Who is this book for?

What you will learn

• Get comfortable with most commonly used PyTorch concepts, modules and API including Tensor operations, data representations, and manipulation
• Work with Deep Learning models and architectures including layers, activations, loss functions, gradients, chain rule, forward and backward passes, and optimizers
• Apply Deep Learning architectures to solve Machine Learning problems for Structured Datasets, Computer Vision, and Natural Language Processing
• Utilize the concept of Transfer Learning by using pre-trained Deep Learning models to your own problems
• Implement state of the art in Natural Language Processing to solve real-world problems such as sentiment analysis
• Implement a simple Generative Adversarial Network to generate fancy images after training on a large image dataset