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Deep Learning courses 745

Learn Deep Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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Vanderbilt University

The History and Relevance of the Rise of Generative AI

4.911 ratings

Dive into the fascinating journey of artificial intelligence, from its theoretical beginnings to today's powerful generative models. This course offers a unique perspective on how AI has transformed over decades, highlighting the crucial developments in deep learning that paved the way for modern A…

  • Coursera
  • One week of learning, one day for hands-on projects
  • Self-paced
  • Paid certificate

IBM

AI Workflow: Machine Learning, Visual Recognition and NLP

4.5101 ratings

This is the fourth course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. Course 4 covers the next st…

  • Coursera
  • This course requires 7.5 to 9 hours of study.
  • Self-paced
  • Paid certificate

Google Cloud

Create Image Captioning Models

Close the gap between sight and description — create your own image captioning models using deep learning as you explore encoder-decoder architecture, model training, and evaluation.

  • edX
  • 1 weeks, 4 - 5 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

The University of Queensland

Deep Learning through Transformative Pedagogy

4.77 ratings

How can powerful teaching strategies and effective learning activities enhance deep learning?

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

Johns Hopkins University

Advanced Neural Network Techniques

The course "Advanced Neural Network Techniques" delves into advanced neural network methodologies, offering learners an in-depth understanding of cutting-edge techniques such as Recurrent Neural Networks (RNNs), Autoencoders, Generative Neural Networks, and Deep Reinforcement Learning. Through hand…

  • Coursera
  • 4 weeks of study, 2-3 hours/week
  • Self-paced
  • Paid certificate

Johns Hopkins University

Mastering Neural Networks and Model Regularization

The course "Mastering Neural Networks and Model Regularization" dives deep into the fundamentals and advanced techniques of neural networks, from understanding perceptron-based models to implementing cutting-edge convolutional neural networks (CNNs). This course offers hands-on experience with real…

  • Coursera
  • 4 weeks of study, 5-6 hours/week
  • Self-paced
  • Paid certificate

Google Cloud

Attention Mechanism

Learn how attention mechanisms use key input sequences to dramatically boost performance in machine learning tasks like translation, text summarization, and question answering — in only 45 minutes.

  • edX
  • 1 weeks, 4 - 5 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

freeCodeCamp

TensorFlow for Computer Vision Course - Full Python Tutorial for Beginners

Learn how to use TensorFlow 2 and Python for computer vision in this complete course. The course shows you how to create two computer vision projects. The first involves an image classification model with a prepared dataset. The second is a more real-world problem where you will have to clean and p…

Free video
  • YouTube
  • 4.5 hours
  • Self-paced
  • Free video

IBM

PyTorch Basics for Machine Learning

3.526 ratings

This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you st…

  • edX
  • 5 weeks, 2 - 4 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

MIT OpenCourseWare

Research Topics in Neuroscience

This series of research talks by members of the Department of Brain and Cognitive Sciences introduces students to different approaches to the study of the brain and mind. Topics include: From Neurons to Neural Networks Prefrontal Cortex and the Neural Basis of Cognitive Control Hippocampal Memory F…

  • MIT
  • Self-paced
  • Free course
  • Advanced

RWTH Aachen University

Basics of Machine Learning

"Basics of Machine Learning" introduces participants to the fundamental concepts and tools of machine learning, including probability density estimation, linear regression, classification techniques, ensemble methods, and deep neural networks.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

Cornell University

Applications of Machine Learning in Plant Science

This course provides learners with an introduction to applications of machine learning in the plant sciences. Learners will be given an introduction to machine learning including supervised learning, test validation, learning via gradient methods, neural networks, regression, and parameter optimiza…

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

freeCodeCamp

Code DeepSeek V3 From Scratch in Python - Full Course

This course is a comprehensive guide to understanding and implementing DeepSeek V3, a cutting-edge deep learning model. @vukrosic shares step-by-step coding instructions and theoretical insights. 🔗 paper - https://arxiv.org/pdf/2412.19437 💻 https://github.com/deepseek-ai/DeepSeek-V3/tree/main/infer…

Free video
  • YouTube
  • 4 hours
  • Self-paced
  • Free video

Google Cloud

Encoder-Decoder Architecture

Explore encoder-decoder architecture for sequence-to-sequence tasks. Learn its components, training, and serving models.

  • edX
  • 1 weeks, 4 - 5 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

freeCodeCamp

Hot Dog or Not Hot Dog – Convolutional Neural Network Course for Beginners

Learn about Convolutional Neural Networks in this full course for beginners. These are a class of deep learning neural networks that are particularly effective for classifying images. CNNs are also used for other applications such as natural language processing and time series forecasting, but they…

Free video
  • YouTube
  • 1.5 hours
  • Self-paced
  • Free video

Google Cloud

Computer Vision Fundamentals with Google Cloud

Computer Vision Fundamentals with Google Cloud Discover how to solve real-world computer vision challenges on Google Cloud using a range of ML approaches, from pre-built APIs to custom image-built classifiers.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

freeCodeCamp

Natural Language Processing with TensorFlow 2 - Beginner's Course

This course is a practical introduction to natural language processing with TensorFlow 2.0. In this tutorial you will go from having zero knowledge to writing an artificial intelligence that can compose Shakespearean prose. No prior experience with deep learning is required, though it is always hel…

Free video
  • YouTube
  • 1.5 hours
  • Self-paced
  • Free video

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