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#Convolutional Networks

Showing: 9 courses
Yale University

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

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Explore cutting-edge techniques for rapid 4D MRI reconstruction using convolutional networks, focusing on motion-resolved imaging without data consistency constraints.
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1 Lesons
24 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

How Neural Networks Learn Features from Data

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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.
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1 Lesons
46 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Perception and Learning for Autonomous Driving - Part 1

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Explore perception and learning for autonomous driving, covering sensor suites, deep neural networks, and object detection techniques in this comprehensive tutorial.
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21 Lesons
1 hour 18 minutes
On-Demand
Free-Video
MITCBMM

The Deep Learning Revolution

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Explore the evolution of deep learning, from its origins to modern applications, covering key milestones, breakthroughs, and future prospects in AI and neuroscience.
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28 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Paul G. Allen School

Deep Learning II - Joan Bruna NYU

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Explore advanced deep learning concepts including symmetry, transformations, and geometric stability in neural networks with NYU professor Joan Bruna.
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13 Lesons
1 hour
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

News on Tensor Networks for Machine Learning and Quantum Computing Simulation

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Explore recent advancements in tensor networks for enhancing machine learning and simulating quantum processors, covering deep neural networks, convolutional networks, and large language models.
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1 Lesons
1 hour 8 minutes
On-Demand
Free-Video

Machine Duping - Pwning Deep Learning Systems

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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.
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24 Lesons
51 minutes
On-Demand
Free-Video
Spring I/O

Machine Learning Exposed - The Fundamentals

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Gentle introduction to machine learning fundamentals, covering supervised, unsupervised, and reinforcement learning, with practical examples and intuitive explanations of underlying mathematics.
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18 Lesons
50 minutes
On-Demand
Free-Video
NDC Conferences

Writing a Neural Net from Scratch

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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.
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19 Lesons
1 hour 4 minutes
On-Demand
Free-Video