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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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Showing 745 courses

IIT Kharagpur

Neural Networks and Applications

Electronics & Communication Engineering course by Prof. Somnath Sengupta.

  • NPTEL
  • 37 lectures
  • Self-paced
  • Free course
  • Paid certificate

IBM

Machine Learning: Capstone Project

Demonstrate your machine learning expertise in this IBM Capstone course. Apply Pandas, Scikit-learn, TensorFlow/Keras, and build a real-world course recommender system. Showcase your ML skills through this comprehensive hands-on project.

  • edX
  • 1 weeks, 23 - 27 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Advanced

Johns Hopkins University

Introduction to Neural Networks

4.210 ratings

The course "Introduction to Neural Networks" provides a comprehensive introduction to the foundational concepts of neural networks, equipping learners with essential skills in deep learning and machine learning. Dive into the mathematics that drive neural network algorithms and explore the optimiza…

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

freeCodeCamp

Become an AI Researcher Course – LLM, Math, PyTorch, Neural Networks, Transformers

Welcome to the full course on becoming an AI Researcher. This course will guide you step-by-step, starting with the foundational mathematics essential for understanding modern AI, before diving into PyTorch fundamentals. You will then learn about the building blocks of AI, from simple neural networ…

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

IIT Kharagpur

Fuzzy Logic and Neural Networks

Multidisciplinary course by Prof. Dilip Kumar Pratihar.

  • NPTEL
  • 48 lectures
  • Self-paced
  • Free course
  • Paid certificate

University of Canterbury

Text Analytics 2: Visualizing Natural Language Processing

Extend your knowledge of the core techniques of computational linguistics by working through case-studies and visualizing their results.

  • edX
  • 6 weeks, 3 - 6 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Arm Education

Optimizing Generative AI on Arm Processors: from Edge to Cloud

Efficient AI is more than algorithms. This hands-on course shows you how to optimize GenAI workloads on real-world systems using techniques such as SIMD (SVE, Neon), low-bit quantization, and the optimized KleidiAI library. You will develop essential strategies and skills to build scalable, high-pe…

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

freeCodeCamp

Image Generation using GANs | Deep Learning with PyTorch: Zero to GANs | Part 6 of 6

“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…

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

SAS

Statistical Thinking for Industrial Problem Solving, presented by JMP

4.8102 ratings

Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods…

  • Coursera
  • 8-week course, 3-6 hours per week
  • Self-paced
  • Paid certificate

freeCodeCamp

Understanding Deep Learning Research Tutorial - Theory, Code and Math

If you've ever felt intimidated by deep learning research papers with their dense mathematical notation and complex code bases, this comprehensive tutorial from @deeplearningexplained will show you how to effectively understand and implement cutting-edge AI research. Through practical examples usin…

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

IBM

Generative AI Language Modeling with Transformers

4.5157 ratings

This course provides a practical introduction to using transformer-based models for natural language processing (NLP) applications. You will learn to build and train models for text classification using encoder-based architectures like Bidirectional Encoder Representations from Transformers (BERT),…

  • Coursera
  • 2 Weeks of study, 3-5 hours/week
  • Self-paced
  • Paid certificate

IBM

Introduction to Neural Networks and PyTorch

4.41,916 ratings

Get ready to build the foundational PyTorch skills you need to launch your career as an AI Engineer – the fastest growing job title in the United States. Starting with tensors, this course takes you right through to fully trained classification models. You will master tensor operations, build custo…

  • Coursera
  • 7 weeks 2-4 hours a week
  • Self-paced
  • Paid certificate

IBM

Deep Learning with Keras and Tensorflow

4.41,044 ratings

Deep learning is revolutionizing many fields, including computer vision, natural language processing, and robotics. In addition, Keras, a high-level neural networks API written in Python, has become an essential part of TensorFlow, making deep learning accessible and straightforward. Mastering thes…

  • Coursera
  • 7 weeks of study, 3-4 hours per week
  • Self-paced
  • Paid certificate

freeCodeCamp

TensorFlow Course – Building and Evaluating Medical AI Models

Learn how to build and evaluate medical AI models with TensorFlow. This is a great, real world project for improving your machine learning skills. You will use TensorFlow to evaluate chest x-rays. ✏️ Dr. Jason Adleberg teaches this course. Jason on Twitter: https://www.twitter.com/pixels2patients J…

Free video
  • YouTube
  • 1 hour
  • Self-paced
  • Free video

IBM

Generative AI Engineering and Fine-Tuning Transformers

4.5119 ratings

The demand for technical generative AI (GenAI) skills is increasing, and businesses are actively seeking AI engineers who can work with large language models (LLMs). This IBM course is designed to build job-ready skills that can accelerate your AI career. In this course, you’ll explore transformers…

  • Coursera
  • 2 week of study, approx 8 hours/week
  • Self-paced
  • Paid certificate

IBM

Deep Learning with PyTorch

4.5107 ratings

Get hands-on experience in building and deploying intelligent systems using PyTorch by using one of the most widely used deep learning frameworks in AI development. In this practical course, you’ll gain job-ready skills in deep learning, machine learning, and neural networks, boosting your resume f…

  • Coursera
  • 6 weeks of study, 2-5 hours per week
  • Self-paced
  • Paid certificate

freeCodeCamp

Computer Vision with Arduino Tutorial – 2 Projects

The course combines computer vision, deep learning, and Arduino. You will build two projects using tools like MediaPipe and OpenCV. The first project will control an LCD display using your facial movements and the second project will control a robotic arm using computer vision. In this course, you…

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

freeCodeCamp

Building a Vision Transformer Model from Scratch with PyTorch

Learn to build a Vision Transformer (ViT) from scratch using PyTorch! This hands-on course guides you through each component, from patch embedding to the Transformer Encoder. Train your custom ViT model on CIFAR-10 and gain practical experience in image classification. Transition from CNNs to trans…

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

Sentdex

Building an Open Assistant API

Working with one of the Open Assistant models, a 12B parameter Pythia model (https://huggingface.co/OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5) Github: https://github.com/Sentdex/OpenAssistant_API_Pythia_12B Neural Networks from Scratch book: https://nnfs.io Channel membership: https://www.yout…

Free video
  • YouTube
  • 40 minutes
  • Self-paced
  • Free video

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