WA3547
Mastering Generative AI with PyTorch Training
This Generative AI course focuses on the robust PyTorch framework. It covers essential deep learning concepts, neural network architectures (CNNs, RNNs), and advanced techniques like transfer learning and generative models (VAEs, GANs).
In this PyTorch training, learners gain hands-on experience building and training generative AI models for various applications.
Course Details
Duration
4 days
Prerequisites
A solid understanding of Python programming and basic machine learning concepts is recommended. Familiarity with PyTorch is beneficial but not mandatory.
Skills Gained
- Understand the fundamentals of deep learning and neural networks.
- Build and train various types of neural networks using PyTorch.
- Implement convolutional neural networks (CNNs) for image and video analysis tasks.
- Apply recurrent neural networks (RNNs) for sequence data processing, including natural language processing (NLP).
- Leverage transfer learning to accelerate model development and improve performance.
- Understand and implement generative models like Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs).
- Explore the applications of generative AI in various domains.
Who Can Benefit?
- Data scientists and machine learning engineers seeking to specialize in generative AI.
- Software developers and researchers interested in building cutting-edge AI applications.
- Anyone passionate about exploring the creative potential of generative models.
Course Outline
- Deep Learning in PyTorch
- Deep Learning Review
- PyTorch Framework
- PyTorch Tensors
- PyTorch Neural Networks
- Activation Functions
- CNNs in PyTorch
- CNNs in PyTorch
- Convolutional Layers
- Pooling layers
- Practical Applications
- RNNs in PyTorch
- Recurrent Neural Networks
- Processing Sequence Data
- Memory Limitations
- RNNs in PyTorch
- LSTMs and GRUs
- Transfer Learning, Autoencoders, and GANs
- Transfer Learning
- First Generative Models
- VAE Basics
- VAE Architecture
- Generative Adversarial Networks (GANs)
- Introduction to Generative AI
- Transformers Architecture
- Attention Mechanism
- GPTs
Upcoming Course Dates
