PyTorch Tutorials - AI & Machine Learning

Master PyTorch for Deep Learning

Dive into the world of artificial intelligence with our comprehensive PyTorch tutorials. From beginners to advanced practitioners, explore state-of-the-art models and build intelligent applications.

Getting Started with PyTorch

Learn the fundamental concepts of PyTorch, including tensors, autograd, and neural network modules. Build your first simple neural network.

Beginner PyTorch Core Neural Networks

Start Learning

Convolutional Neural Networks (CNNs) with PyTorch

Understand the architecture and application of CNNs for image recognition and computer vision tasks. Implement classic CNN models.

Intermediate Computer Vision CNNs

Explore CNNs

Recurrent Neural Networks (RNNs) and LSTMs

Delve into sequence modeling with RNNs and LSTMs. Perfect for natural language processing and time-series analysis.

Intermediate NLP RNNs LSTMs

Learn RNNs

PyTorch for Natural Language Processing (NLP)

Discover how to leverage PyTorch for various NLP tasks, including text classification, sentiment analysis, and machine translation.

Intermediate NLP Transformers

NLP with PyTorch

Deploying PyTorch Models

Learn techniques for deploying your trained PyTorch models into production environments using tools like TorchServe and ONNX.

Advanced Deployment MLOps

Deploy Models

Advanced PyTorch Techniques

Explore advanced topics such as custom layers, distributed training, and model optimization for large-scale deep learning.

Advanced Optimization Distributed Training

Advanced Topics