Serrano.Academy Courses

A Friendly Introduction to Recurrent Neural Networks

2 ratings

A friendly visual explanation of how recurrent neural networks use previous outputs and sequential inputs to predict and generate sequences.

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

A Friendly Introduction to Machine Learning

1 rating

A friendly, example-driven introduction to major machine learning algorithms, from regression and neural networks to SVMs and clustering.

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

The Fast Fourier Transform - Efficient Algorithm for Signal Processing

Dive into the Fast Fourier Transform, exploring its efficiency over the Discrete Fourier Transform and understanding the crucial Butterfly algorithm in signal processing.

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

Understanding AdaBoost - Ensemble Learning with Weighted Classifiers

Discover how AdaBoost combines multiple weak learners into a powerful ensemble model, with hands-on Python implementation and practical insights into weighted voting mechanisms.

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

The Kolmogorov-Arnold Theorem - Understanding Continuous Functions and Neural Networks

Discover how continuous functions can be expressed through simple formulas using the Kolmogorov-Arnold Theorem and its practical applications in neural networks.

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

Agents, RAG, and Reasoning Models

Explore AI agent architecture, agentic loops, memory systems, tools, and planning to transition from static automation to dynamic autonomous systems.

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

Discrete Dynamical Systems - Eigenvalues and Eigenvectors

Explore eigenvalues and eigenvectors in discrete dynamical systems, a key component of linear algebra for machine learning, with practical applications and computational examples.

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

Quantum Superposition and the Glove That Changes Color

Discover quantum superposition through an innovative glove experiment where observation changes the glove's color, illustrating how measurement affects quantum states in just 14 minutes.

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

Quantum Computing and Quantum Machine Learning

Discover quantum computing fundamentals and quantum machine learning through Fourier transforms, superposition, and practical applications in under 2 hours.

• YouTube
• 1 hour 59 minutes
• Self-Paced
• Free Video

Reinforcement Learning for Large Language Models - RLHF, PPO, DPO, and GRPO

Discover how to fine-tune LLMs using RLHF, PPO, DPO, and GRPO techniques with practical deep reinforcement learning methods for transformer models.

• YouTube
• 2 hours 28 minutes
• Self-Paced
• Free Video

Strengths and Weaknesses of Large Language Models

Explore the capabilities and limitations of large language models, understanding their practical applications and current challenges in AI development.

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

Retrieval Augmented Generation (RAG), Search, and Vector Databases

Discover how to make LLMs speak factually using Retrieval Augmented Generation (RAG), search techniques, and vector databases in this comprehensive 19-minute guide.

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

GRPO - Group Relative Policy Optimization: How DeepSeek Trains Reasoning Models

Discover how DeepSeek trains reasoning models using Group Relative Policy Optimization (GRPO), a reinforcement learning approach that enables self-improvement, with comparisons to ChatGPT and detailed explanations of the GRPO methodology.

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

Can Quantum Computers Break the Speed of Information?

Explore the limits of quantum computing speed, Shannon's entropy, and information gain in this friendly explanation of why quantum computers can't exceed the speed of information.

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

Kolmogorov-Arnold Networks - Understanding Their Architecture and Function

Discover the elegant architecture of Kolmogorov-Arnold networks, a powerful neural network design based on mathematical theorems, and understand their unique implementation and performance benefits.

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