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Learn Deep Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
This course is a conceptual and architectural journey through deep learning vision models, tracing the evolution from LeNet and AlexNet to ResNet, EfficientNet, and Vision Transformers. The course explains the design philosophies behind skip connections, bottlenecks, identity preservation, depth/wi…
RWTH Aachen University
"Deep Learning" gives an overview of the basic types of neural networks and how to train them. Starting with Multi-Layer Perceptrons (MLPs), the course covers the most important training tricks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), as well as Transformers, and giv…
Learn how to Build a Stable Diffusion VAE From Scratch using Pytorch. VAE stands for Variational Autoencoder. It's a type of Autoencoder and a neural network that trains using an unsupervised technique. They are widely used in Image generation models mainly on latent diffusion-based and GANs-based…
“Deep Learning with PyTorch: Zero to GANs” is a beginner-friendly online course offering a practical and coding-focused introduction to deep learning using the PyTorch framework. Learn more and register for a certificate of accomplishment here: http://zerotogans.com Watch the entire series here: ht…
This course is a comprehensive journey through the evolution of sequence models and neural machine translation (NMT). It blends historical breakthroughs, architectural innovations, mathematical insights, and hands-on PyTorch replications of landmark papers that shaped modern NLP and AI. The course…
The University of Texas at Austin
This course provides a detailed explanation of machine learning and its applications in finance.
Ready to explore machine learning and artificial intelligence in python? This python machine learning and AI mega course contains 4 different series designed to teach you the ins and outs of ML and AI. It talks about fundamental ML algorithms, neural networks, creating AI chat bots and finally deve…
Neural Networks from Scratch: https://nnfs.io Channel membership: https://www.youtube.com/channel/UCfzlCWGWYyIQ0aLC5w48gBQ/join Discord: https://discord.gg/sentdex Support the content: https://pythonprogramming.net/support-donate/ Twitter: https://twitter.com/sentdex Instagram: https://instagram.co…
Some tips and tricks for using modern LLM agents for building stuff. I am using openhands here, but you're free to take some of my advice from here and apply it to just about any of the web-based UIs or other agents...etc. OpenHands github: https://github.com/All-Hands-AI/OpenHands Neural Networks…
DeepLearning.AI
Vous souhaitez vous lancer dans l’IA de pointe ? Ce cours est là pour vous y aider. Les ingénieurs en Deep Learning sont très convoités et la maîtrise de ce domaine vous ouvrira de nombreuses opportunités professionnelles. Le Deep Learning est également un nouveau « superpouvoir » qui vous permettr…
École polytechnique fédérale de Lausanne
In this course, you will learn to simulate, analyze and visualize hippocampal microcircuits. You will reproduce experimental protocols “in silico” to validate simulated microcircuit behaviors, and leverage the brain simulation platform to gain insights towards parsimonious theories on brain functio…
University of Colorado Boulder
In this course, you’ll be learning about Computer Vision as a field of study and research. First we’ll be exploring several Computer Vision tasks and suggested approaches, from the classic Computer Vision perspective. Then we’ll introduce Deep Learning methods and apply them to some of the same pro…
Alison
Have you been wondering what a machine learning system can do? Chatbots, predictive text, apps for language translation, Netflix's recommendations, and social media feeds are all machine learning products. The course will illustrate the components of artificial neural networks with the steps for pe…
Hugging Face
By the end of this course, you will be able to: • Explain the role of models, datasets, and Spaces in the HF ecosystem and use the pipeline API to run inference across text, vision, and audio tasks. • Tokenize and encode text inputs using AutoTokenizer, handle padding and truncation, and apply chat…
Text-based tutorial and sample code: https://pythonprogramming.net/autoencoders-tutorial/ Neural Networks from Scratch book: https://nnfs.io Channel membership: https://www.youtube.com/channel/UCfzlCWGWYyIQ0aLC5w48gBQ/join Discord: https://discord.gg/sentdex Reddit: https://www.reddit.com/r/sentdex…
Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use TensorFlow's distribution strategies and the Vertex AI platform to train and deploy a custom TensorFlow image classification model to classify an image classification dataset.
Me toying around with the scored outputs of 20-something models, trying to figure out how to find the best answers. Neural Networks from Scratch: https://nnfs.io Chat response samples: https://github.com/Sentdex/chatbotrnd/blob/master/chat_question_examples.py Channel membership: https://www.youtub…
MITx
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. -- Part of the MITx MicroMasters program in Statistics and Data Science.
