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Book Overview & Buying
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Table Of Contents
PyTorch Ultimate 2024 - From Basics to Cutting-Edge
By :
PyTorch Ultimate 2024 - From Basics to Cutting-Edge
By:
Overview of this book
Embark on a transformative learning journey with this comprehensive PyTorch course, designed to guide you from foundational principles to advanced AI applications. Starting with the basics, you’ll explore essential machine learning concepts, build neural networks from scratch, and gain proficiency in coding with PyTorch. Step-by-step tutorials and hands-on projects ensure you master key skills like data preparation, model training, and performance evaluation.
As you progress, dive into cutting-edge topics such as convolutional neural networks for image and audio classification, recurrent neural networks for sequential data, and transformers for next-generation AI solutions. The course also covers advanced techniques like GANs for generative modeling, graph neural networks for structured data, and transfer learning for leveraging pre-trained models.
Concluding with deployment strategies, you’ll learn to implement models on cloud platforms and integrate them into production environments. By the end of the course, you’ll have the skills and confidence to build, optimize, and deploy robust AI systems using PyTorch. Whether you're advancing your career or building expertise, this course equips you for success in the dynamic field of AI.
Table of Contents (26 chapters)
Course Overview and System Setup
Deep Learning Introduction
Neural Network from Scratch
PyTorch Modeling Introduction
Classification Models
CNN: Image Classification
CNN: Audio Classification
CNN: Object Detection
Style Transfer
Pre-Trained Networks and Transfer Learning
Recurrent Neural Networks
Recommender Systems
Autoencoders
Generative Adversarial Networks
Graph Neural Networks
PyTorch Lightning
Semi-Supervised Learning
Natural Language Processing (NLP)
Miscellaneous Topics
Model Debugging
Model Deployment
Final Section
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