Programming Transformer Neural Networks with PyTorch
|
Learn to build and train transformer models using the PyTorch library for natural language processing tasks.
This course will guide you through the essential concepts of Transformer Neural Networks and their implementation using PyTorch. Starting with an introduction to Transformers, you will learn to build and train Transformer models from scratch. Additionally, you will explore the advantages of using pre-trained Transformer models and how to leverage them effectively in your projects. By the end of this course, you will have a solid foundation in programming Transformer Neural Networks with PyTorch.
User Reviews
Be the first to review “Programming Transformer Neural Networks with PyTorch”
Related Products
Generative AI
Discover the principles and applications of generative AI, including content creation and enhancement techniques.
Deep Reinforcement Learning
Learn about deep reinforcement learning algorithms and their applications in decision-making and control problems.
Discovering Ethical AI
Explore the ethical implications of AI technology and the importance of responsible AI development and usage.
Machine Learning Engineer with Microsoft Azure
Acquire the skills needed to build and deploy machine learning models using Microsoft Azure's tools and services.
Ethical AI
Explore ethical considerations and frameworks for developing responsible AI systems that align with societal values.
Generative AI Fundamentals
Explore the core concepts of generative AI, including types, models, and use cases in various domains.
There are no reviews yet.