Mastering PyTorch
Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
Created by Ashish Ranjan Jha
Explore how to build and deploy deep learning models using PyTorch, from convolutional neural networks to transformers and generative models. Gain hands-on experience with advanced techniques and tools to create, optimize, and deploy AI solutions across multiple domains.
Packt | May 2024 | 554 min
What You Will Learn
You will start by building foundational models for image and text tasks, then expand into generative and reinforcement learning projects. As you progress, you will use practical examples to optimize training, experiment with different libraries, and deploy models to production environments, including mobile devices.
Key Features
- Build and train advanced neural network models for text, images, and music
- Optimize and deploy models efficiently using multiple GPUs and mobile platforms
- Leverage PyTorch ecosystem tools like fastai, Lightning, and Hugging Face
Target Audience
Perfect for data scientists, machine learning engineers, and researchers with Python and deep learning experience. If you want to deepen your PyTorch skills, switch from TensorFlow, or build and deploy advanced AI models, you will find practical guidance and actionable techniques here.
