CodeEmporium Courses

Primary Visual Cortex: How Brain Processes What We See

Discover how the primary visual cortex processes visual information, from retina to brain, exploring Hubel and Wiesel's experiments on simple and complex cells that detect features in what we see.

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

Reinforcement Learning: Zero to Hero

Master the fundamentals of reinforcement learning, from basic concepts to practical applications, including multi-armed bandits and Monte Carlo methods in this comprehensive tutorial.

• YouTube
• 1 hour 38 minutes
• Self-Paced
• Free Video

Visual Pathway - Explained

Explore the journey of visual information from the retina to the brain, understanding the propagation process and key structures involved in our visual pathway.

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

Multi-Layer Perceptron Explained

Explore the multi-layer perceptron's evolution from basic perceptrons, understanding hidden units, non-linear activation functions, and backpropagation algorithm in this concise explanation with practical examples.

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

ADALINE - Understanding Adaptive Linear Neurons and Their Role in Deep Learning

Explore the historical foundations of deep learning through ADALINE (Adaptive Linear Neurons), understanding its key concepts, implementation, and comparison with perceptrons from a 1960s electrical engineering perspective.

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

Understanding Hopfield Networks - Architecture and Memory Systems

Delve into the foundational concepts of Hopfield Networks, exploring their architecture, memory storage mechanisms, and practical applications in neural network design and associative memory systems.

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

Evolution of Back Propagation: Who Invented It?

Explore the historical development of backpropagation, from Cauchy's gradient descent to modern implementations, understanding its mathematical foundations and key contributors like Rumelhart, Hinton, and Werbos.

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

Where Did Convolution Networks Come From? - Evolution from Neo-Cognitron to Modern CNNs

Discover the biological origins of convolutional neural networks through Hubel & Wiesel's experiments and the Neo-cognitron, understanding why CNNs use convolution, activation, and pooling.

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

Understanding LLM Agents - Differences Between LLMs and RAG Systems

Explore the fundamental differences between LLM Agents, traditional LLMs, and RAG systems through clear comparisons and practical insights into autonomous AI capabilities.

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

Understanding Boltzmann Machines - From Basic Concepts to Implementation

Dive into the fundamentals of Boltzmann Machines, exploring their architecture, probability distribution learning, energy landscapes, and stochastic neuron functions through practical examples and quizzes.

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

ChatGPT: From Zero to Hero - Understanding the Technology and Training Process

Comprehensive exploration of ChatGPT's architecture, from fundamental concepts to advanced fine-tuning techniques, covering GPT models, reward systems, and reinforcement learning applications.

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

Retrieval-Augmented Generation (RAG) - Explained

Explore RAG (Retrieval-Augmented Generation) to mitigate AI hallucinations. Learn key concepts, implementation details, and advanced techniques through multiple passes and quizzes.

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

LLM Fine-Tuning - Explained

Explore parameter efficient fine-tuning techniques for large language models, including adapters, prefix-tuning, and LoRA. Learn their importance, implementation details, and performance evaluation.

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

Informer: Training and Inference

Explore time series prediction using Informer, a transformer-based model. Learn to train and make predictions through hands-on coding, enhancing your skills in advanced forecasting techniques.

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

Informer: Complete Code from Scratch - Time Series Transformer Analysis

Line-by-line exploration of the time series transformer, focusing on implementation details and code structure for deep learning enthusiasts and practitioners.

• YouTube
• 1 hour 27 minutes
• Self-Paced
• Free Video