StatQuest with Josh Starmer Courses

Transformer Neural Networks, ChatGPT's Foundation, Clearly Explained

Clear explanation of Transformer Neural Networks, the foundation of ChatGPT and modern AI. Covers key concepts like word embedding, self-attention, and encoder-decoder architecture.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Decoder-Only Transformers, ChatGPT's Specific Transformer, Clearly Explained

Comprehensive explanation of Decoder-Only Transformers used in ChatGPT, covering word embedding, position encoding, masked self-attention, and output generation, with comparisons to normal Transformers.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Essential Matrix Algebra for Neural Networks

Learn essential matrix algebra for neural networks, covering linear transformations, matrix operations, and their application in PyTorch and Attention mechanisms.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Coding a ChatGPT-Like Transformer From Scratch in PyTorch

Step-by-step tutorial on building a ChatGPT-like Transformer from scratch in PyTorch, covering data preparation, position encoding, attention mechanisms, and model training for natural language processing.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

How AI Works in Super Simple Terms

Discover how AI like ChatGPT works using super simple examples and terms, covering poem generation, AI creation, and alignment for useful applications.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Reinforcement Learning with Neural Networks: Essential Concepts

Discover the essential concepts of Reinforcement Learning with neural networks, from winning games to powering ChatGPT, through clear explanations of backpropagation, reward systems, and parameter updates.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Encoder-Only Transformers: Understanding BERT and RAG Architecture

Discover how encoder-only transformers power RAG, sentiment analysis, and classification through clear explanations of word embedding, positional encoding, and attention mechanisms.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Reinforcement Learning with Human Feedback (RLHF), Clearly Explained

Discover how Reinforcement Learning with Human Feedback (RLHF) helps align language models like ChatGPT to generate polite, useful responses, with a clear explanation of pre-training, supervised fine-tuning, and reward model training.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Reinforcement Learning with Neural Networks: Mathematical Details

Delve into the mathematical foundations of reinforcement learning in neural networks, exploring parameter updates through derivatives, rewards, and optimization techniques step by step.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Reinforcement Learning: Essential Concepts

Discover the essential concepts of reinforcement learning in AI systems, explained step-by-step in an accessible way that parallels human learning processes.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Long Short-Term Memory with PyTorch + Lightning

Learn to implement and train LSTM networks using PyTorch and Lightning, covering custom LSTM coding, PyTorch's built-in LSTM, and advanced training techniques for deep learning projects.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Long Short-Term Memory (LSTM), Clearly Explained

Clear explanation of Long Short-Term Memory (LSTM) neural networks, their advantages over basic RNNs, and how they handle larger data sequences without gradient problems. Includes step-by-step breakdown of LSTM stages.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Introduction to Coding Neural Networks with PyTorch and Lightning

Aprenda a codificar redes neurais eficientemente com PyTorch e Lightning, simplificando o processo, melhorando a portabilidade e otimizando a taxa de aprendizagem automaticamente.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Introduction to PyTorch

Learn to create, visualize, and optimize a neural network using PyTorch in this step-by-step tutorial, covering network creation, output graphing, and parameter optimization through backpropagation.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Neural Networks Part 7 - Cross Entropy Derivatives and Backpropagation

Detailed guide on calculating cross entropy derivatives and applying them in neural network backpropagation, with step-by-step explanations and practical examples.

• YouTube
• 22 minutes
• Self-Paced
• Free Video