Social And Emotional Learning Courses

Institute for Advanced Study

Reproducible, Reusable, and Robust Reinforcement Learning - Joelle Pineau

Explore reproducibility, reusability, and robustness in reinforcement learning. Delve into policy gradient methods, hyperparameter interplay, fair comparisons, and real-world applications of RL algorithms.

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

Institute for Advanced Study

The Epistemology of Deep Learning - Yann LeCun

Explore deep learning's scientific foundations with Yann LeCun, examining its biological inspirations, historical development, and theoretical underpinnings in pattern recognition and neural networks.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

Brief Introduction to Deep Learning and the "Alchemy" Controversy - Sanjeev Arora

Explore deep learning's scientific foundations and the "Alchemy" debate, examining optimization, overfitting, and the interpreter problem in neural networks.

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

ChariotSolutions

Machine Learning: From ABCs to DEFs

Explore machine learning fundamentals, from basic concepts to practical applications, focusing on people, data, and code. Learn to build simple AI models and understand key ML principles.

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

ChariotSolutions

Build a Better Monster: Morality, Machine Learning and Mass Surveillance

Exploring ethical challenges in tech: mass surveillance, machine learning, and political influence. Discusses potential solutions and reforms for a more responsible digital landscape.

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

Australian Water School

How Sensor and Social Networks Enable Adaptive Water Management

Explore adaptive water management through sensor and social networks, focusing on improved outcomes in irrigation communities and government cooperation.

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

Paul Hand

Supervised Machine Learning Review

Comprehensive review of supervised machine learning concepts, focusing on statistical frameworks, loss functions, and the intriguing double-descent phenomenon in neural networks.

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

Eran Feit

Transfer Learning Using Keras

Learn to classify car brands using transfer learning with Keras and ResNet50. Hands-on tutorial covers dataset preparation, model configuration, training, and prediction visualization.

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

Eran Feit

Convolutional Neural Networks - Deep Learning Basics with Python, TensorFlow and Keras

Learn to build and train a convolutional neural network for chess piece image classification using Python, TensorFlow, and Keras. Covers dataset preparation, model creation, and prediction testing.

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

Eran Feit

Deep Learning in Weather Images - Using TensorFlow and CNN

Learn to build a CNN model using TensorFlow and Keras to predict weather scenes from images. Covers dataset preparation, model creation, training, and testing.

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

Eran Feit

Cancer Detection in Brain Using Deep Learning

Learn to detect brain tumors using deep learning, CNN, and TensorFlow. Build, train, and test a model for classifying brain images with hands-on coding and practical implementation.

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

Eran Feit

How to Classify Flowers Using Deep Learning

Learn to build a convolutional neural network for flower image classification using TensorFlow and Keras, from dataset preparation to model testing and prediction.

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

Jeff Heaton

Introduction to Python and Google Colab for Data Science and Machine Learning

Quick Python and Google CoLab tutorial for data science and machine learning, covering basics, file operations, and environment setup for beginners familiar with other programming languages.

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

Jeff Heaton

Setting Up CUDA, CUDNN, Keras, and TensorFlow on Windows 11 for GPU Deep Learning

Comprehensive guide for setting up GPU-accelerated deep learning environment on Windows 11, covering CUDA, CUDNN, Keras, and TensorFlow installation with step-by-step instructions.

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

Jeff Heaton

How to Choose an NVIDIA GPU for Deep Learning - Quadro, Ampere, GeForce Compared

Comprehensive guide to selecting NVIDIA GPUs for deep learning, comparing Quadro, Ampere, and GeForce models. Covers cooling, memory, NVLink, and multi-GPU setups for optimal performance.

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