Convolutional Networks Courses and Certifications

Fast Motion-Resolved 4D MRI Using Convolutional Networks Without Data Consistency

Explore cutting-edge techniques for rapid 4D MRI reconstruction using convolutional networks, focusing on motion-resolved imaging without data consistency constraints.

• YouTube
• 24 minutes
• On-Demand
• Free Video

A deep understanding of deep learning (with Python intro)

4510 ratings at Udemy

Master deep learning in PyTorch using an experimental scientific approach, with lots of examples and practice problems.

• Udemy
• 2 days 9 hours 20 minutes
• On-Demand
• Paid Course

The Complete Neural Networks Bootcamp: Theory, Applications

2459 ratings at Udemy

Deep Learning and Neural Networks Theory and Applications with PyTorch! Including Transformers, BERT and GPT!

• Udemy
• 1 day 19 hours 47 minutes
• On-Demand
• Paid Course

Deep Learning with Google Colab

85 ratings at Udemy

Implementing and training deep learning models in a free, integrated environment

• Udemy
• 6 hours
• On-Demand
• Paid Course

Deep Learning Foundation

37 ratings at Udemy

Overview of Deep Learning concepts. Understand what are the Deep Learning Models, Platforms, Libraries and how they work

• Udemy
• 8 hours 52 minutes
• On-Demand
• Paid Course

MathWorks

Deep Learning with MATLAB

Learn the theory and practice of building deep neural networks with real-life image and sequence data.

• MATLAB Academy
• 8 hours
• On-Demand
• Paid Course

Paul G. Allen School

Deep Learning II - Joan Bruna NYU

Explore advanced deep learning concepts including symmetry, transformations, and geometric stability in neural networks with NYU professor Joan Bruna.

• YouTube
• 1 hour
• On-Demand
• Free Video

MITCBMM

The Deep Learning Revolution

Explore the evolution of deep learning, from its origins to modern applications, covering key milestones, breakthroughs, and future prospects in AI and neuroscience.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

NDC Conferences

Writing a Neural Net from Scratch

Learn to build a neural network for image recognition from scratch in C#, covering key concepts like gradient descent and backpropagation without complex math or external libraries.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Conference Talk

Institute for Pure & Applied Mathematics (IPAM)

Perception and Learning for Autonomous Driving - Part 1

Explore perception and learning for autonomous driving, covering sensor suites, deep neural networks, and object detection techniques in this comprehensive tutorial.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Video

Devoxx

Neural Networks and Brains

Explore deep learning for lung cancer survival prediction using convolutional networks, multi-scale data, and clinical parameters. Learn about noise-based robustness and priming techniques for improved model performance across cohorts.

• YouTube
• 48 minutes
• On-Demand
• Conference Talk

Spring I/O

Machine Learning Exposed - The Fundamentals

Gentle introduction to machine learning fundamentals, covering supervised, unsupervised, and reinforcement learning, with practical examples and intuitive explanations of underlying mathematics.

• YouTube
• 50 minutes
• On-Demand
• Conference Talk

Institute for Pure & Applied Mathematics (IPAM)

News on Tensor Networks for Machine Learning and Quantum Computing Simulation

Explore recent advancements in tensor networks for enhancing machine learning and simulating quantum processors, covering deep neural networks, convolutional networks, and large language models.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

Machine Duping - Pwning Deep Learning Systems

Explore techniques for exploiting vulnerabilities in deep learning systems, covering neural networks, convolutional networks, and recurrent neural networks, with a focus on practical attack methods.

• YouTube
• 51 minutes
• On-Demand
• Conference Talk

Institute for Pure & Applied Mathematics (IPAM)

How Neural Networks Learn Features from Data

Uncover the mechanism behind neural networks' feature learning through the average gradient outer product (AGOP). Explore its applications in various architectures and its role in developing interpretable models for scientific use.

• YouTube
• 46 minutes
• On-Demand
• Free Video