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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.
DeepLearning.AI
This course introduces you to the core principles of deep learning through hands-on coding in PyTorch. You’ll start by learning how PyTorch represents data with tensors and how datasets and data loaders fit into the training process. Step by step, you’ll build and train neural networks, experiment…
Microsoft
In this module, we explore different neural network architectures for processing natural language texts.
In 44 episodes, Adriene Hill teaches you Statistics! This course is based on the 2018 AP Statistics curriculum and introduces everything from basic descriptive statistics to data collection to hot topics in data analysis like Big Data and neural networks. By the end of the course, you will be able…
Great Learning
This free Multilayer Perceptron(MLP) course familiarizes you with the artificial neural network, a vastly used technique across the industry. The course starts by introducing you to neural networks, and you will learn their importance and understand their mechanism. You will then go through various…
Delft University of Technology
Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.
IBM
Become proficient with tensor operations in PyTorch. Learn how to build and train linear regression models from scratch, apply logistic regression for classification tasks, and handle data efficiently while optimizing models using gradient descent techniques.
Arm Education
****This course will provide you with the hands-on experience you’ll need to create innovative machine learning applications using ubiquitous Arm-based microcontrollers.
Johns Hopkins University
The objective of this course is to provide students the knowledge of artificial intelligence processing approaches to breast cancer detection. Students will take quizzes and participate in discussion sessions to reinforce critical concepts conveyed in the modules. Reading assignments, including jou…
Exploring how AI can make predictions based on data: regression, classification, neural networks. Registration (and assignments) for this course won't be available on edX until later this year, so watching now offers a preview. Unlike CS50 AI, which assume a programming background, this new course…
MIT OpenCourseWare
The main goal of this course is to study the generalization ability of a number of popular machine learning algorithms such as boosting, support vector machines and neural networks. Topics include Vapnik-Chervonenkis theory, concentration inequalities in product spaces, and other elements of empiri…
DeepLearning.AI
If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In Course 3 of the DeepLearning…
Duke University
This course provides a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) and demonstrates how they can solve complex problems in various industries, from medical diagnostics to image…
Great Learning
Deepfake is considered the art of future-oriented technology whose specific application is swapping the faces in a video. The most common method for creating deep fakes relies on deep neural networks involving autoencoders that i…
IISc Bangalore
Electrical Engineering course by Prof. Shayan Srinivasa Garani.
IBM
A short hands-on project: Machine Learning, Open Source AI, Python.
IBM
A short hands-on project: PyTorch, Web Development.
AMD
Go beyond just using LLMs to actually understanding them. In this course taught by Sharon Zhou, you'll build the intuition to reason about model behavior, debug real problems, and make smarter decisions about deploying transformer-based models.
Indian Institute of Management Bangalore
Learn the fundamental concepts in probability, statistics, optimization and linear algebra which form the foundations for data science.
DeepLearning.AI
In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch. In this course you will: 1. Explore the cut…
Exploring how AI can interpret sensory data like images and sounds: edge detection, convolutional neural networks, deep learning. Registration (and assignments) for this course won't be available on edX until later this year, so watching now offers a preview. Unlike CS50 AI, which assume a programm…
