Learn how to create neural networks and do deep learning with Python and Pytorch.
An updated series to learn how to use Python, TensorFlow, and Keras to do deep learning. Suitable for ML beginner.
Modern Reinforcement learning w/ Stable Baselines 3
Superior deep learning experiment and performance tracking with Weights and Biases (wandb.ai)
General Purpose 6Bil parameter Transformer model
Generating Python code with Transformer Models.
Train machines (agents) to interact in environments through the use of rewards and punishments to incentivise specific results with Q and Deep Q Learning (DQN)
Learn how to use autoencoders with Python, TensorFlow, and Keras.
Train a self driving car with reinforcement learning using Python and the Carla autonomous car simulator.
Compare the major cloud-GPU providers and learn how to make efficient use of them for deep learning in the cloud.
Learn theory, real world application, and the inner workings of regression, classification, clustering, and deep learning.
Training Python how to play and do a self-driving car in Grand Theft Auto 5 through machine learning and other statistical approaches.
Learn how to build AI in StarCraft II, a multi-player strategy computer game, with Python!
Learn how to create a deep learning chatbot using Reddit comments.
Doing things like using a generative model to classify things, building a number drawer, doing math, and attempting to break encryption with neural networks.
Deep learning in the browser with no installs using TensorFlow.js.
Learn how to detect and track objects in images or real time video with TensorFlow.
Learn how to deploy a support vector machine with Scikit Learn.
Learn about clustering (unsupervised machine learning) through using Scikit Learn.
Discover how powerful even a very simple pattern recognition algorithm can be with character recognition.
Compete with programmers around the world by creating AI bots to take over a space-like environment.
