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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.
University of Washington
(This program was formerly part of a three-course specialization called Autonomous AI for Industry. Because the software program Bonsai was discontinued, references to Bonsai have been removed. You can still learn about autonomous AI and machine teaching through our two individual courses "Designin…
This deep learning course is designed to take you from beginner to proficient in deep learning. You will learn the fundamental concepts, architectures, and applications of deep learning in a clear and practical way. So get ready to build, train, and deploy models that can tackle real-world problems…
Learn PyTorch and PyTorch Syntax from @OmarMAtef. This course walks through five hands-on exercises designed to help you understand and apply PyTorch syntax in real-world tasks. It starts with tabular data classification, then moves on to image classification using both custom and pre-trained model…
IBM
A short hands-on project: Artificial Intelligence, Deep Learning, Generative AI.
DeepLearning.AI
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning,…
Learn the basics of computer vision with deep learning and how to implement the algorithms using Tensorflow. Author: Folefac Martins from Neuralearn.ai More Courses: www.neuralearn.ai Link to Code: https://colab.research.google.com/drive/18u1KDx-9683iZNPxSDZ6dOv9319ZuEC_ YouTube Channel: https://ww…
IBM
A short hands-on project: Artificial Intelligence, Deep Learning, Natural Language Processing.
MIT OpenCourseWare
This course explores the organization of synaptic connectivity as the basis of neural computation and learning. Perceptrons and dynamical theories of recurrent networks including amplifiers, attractors, and hybrid computation are covered. Additional topics include backpropagation and Hebbian learni…
IBM
A short hands-on project: Data Science, Deep Learning, Keras.
MathWorks
Master the essentials of data visualization, data analysis, programming, and app design interactively with MATLAB.
IBM
A short hands-on project: Data Science, Keras, Machine Learning.
University of Alberta
In this course, you will learn how to solve problems with large, high-dimensional, and potentially infinite state spaces. You will see that estimating value functions can be cast as a supervised learning problem---function approximation---allowing you to build agents that carefully balance generali…
IBM
Build in-demand, job-ready generative AI architecture and data science skills in two weeks. A basic knowledge of Python and PyTorch and an awareness of machine learning and neural networks would be an advantage, though not strictly required.
In this course, you will learn how to build deep learning models with PyTorch and Python. The course makes PyTorch a bit more approachable for people starting out with deep learning and neural networks. 💻 Code: https://jovian.ml/aakashns/01-pytorch-basics https://jovian.ml/aakashns/02-linear-regres…
IBM
A short hands-on project: Deep Learning, DevOps, Docker.
Learn how to use TensorFlow Lite. TensorFlow Lite is an open source deep learning framework for on-device inference. 💻 Code: https://github.com/bhattbhavesh91/freecodecamp-tflite ✏️ Course from Bhavesh Bhatt. Check out his channel: https://www.youtube.com/c/BhaveshBhatt8791/ ❤️ Try interactive Pyth…
IBM
A short hands-on project: Deep Learning, LLM, Machine Learning.
Amazon Web Services
In this course, you will learn about the foundations of machine learning (ML) and artificial intelligence (AI). You will explore the connections between AI, ML, deep learning, and the emerging field of generative artificial intelligence (generative AI), which has captured the attention of businesse…
Université de Montréal
Do you want to learn how machines can learn tasks we thought only human brains could perform? Then take this Deep Learning course developed by IVADO, Mila and Université de Montréal: an extensive overview of the essentials of deep learning, this ground-breaking technology already prevalent in our l…
IBM
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI appl…
