Deep Networks Courses and Certifications

Paul G. Allen School

Deep Learning IV - Advanced Topics in Neural Networks

Explore advanced deep learning concepts with NYU professor Joan Bruna, covering cutting-edge techniques and applications in neural networks and machine learning.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Paul G. Allen School

Deep Learning III - Advanced Topics in Neural Networks

Explore advanced deep learning concepts with NYU professor Joan Bruna, covering cutting-edge techniques and applications in neural networks and machine learning.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Devoxx

Deep Dive into Watson's Neural Networks

Explore Watson's neural networks, machine learning algorithms, and cognitive capabilities. Learn how Watson enables human-like conversations, deep searches, and continuous learning in AI platforms.

• YouTube
• 3 hours 1 minute
• On-Demand
• Conference Talk

Simons Institute

Interpreting Deep Neural Networks

Explore techniques for interpreting deep neural networks, focusing on methods to understand and explain their decision-making processes and internal representations.

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

Simons Institute

Why Deep Learning Works: Implicit Self-Regularization in Deep Neural Networks

Explore the underlying mechanisms of deep learning's success, focusing on implicit self-regularization in neural networks and its impact on model performance.

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

IEEE

Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks

Introduces defensive distillation to protect deep neural networks from adversarial attacks, reducing attack effectiveness from 95% to 0.5% and increasing robustness by 800% in tests.

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

Black Hat

Deep Neural Networks for Hackers - Methods, Applications, and Open Source Tools

Intuitive overview of deep neural networks for cybersecurity, covering methods, applications, and open-source tools for detecting malicious files, URLs, and domains.

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

GOTO Conferences

Deep Stupidity - What Neural Networks Can & Cannot Do

Explores limitations of neural networks and AI, challenging assumptions about machine intelligence and discussing philosophical implications for consciousness and cognition.

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

The Full Stack

Troubleshooting Deep Neural Networks - Full Stack Deep Learning - Spring 2021

Learn a systematic approach to troubleshoot deep neural networks, from starting simple to tuning hyperparameters, with practical strategies for implementation, debugging, evaluation, and improvement.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

The Full Stack

Recurrent Neural Networks - Full Stack Deep Learning - Spring 2021

Explore Recurrent Neural Networks: architecture, challenges, solutions, and applications. Dive into LSTMs, bidirectionality, attention mechanisms, CTC loss, and non-recurrent sequence models like WaveNet.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

The Full Stack

Convolutional Neural Networks - Full Stack Deep Learning - Spring 2021

Explore convolutional neural networks, from basic operations to advanced concepts like dilated convolutions and pooling. Learn about the classic LeNet architecture and gain insights into ConvNet implementation.

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

The Full Stack

Troubleshooting Deep Neural Networks - Full Stack Deep Learning - March 2019

Learn effective strategies for diagnosing and fixing issues in deep neural networks, including a decision tree for systematic troubleshooting and performance optimization.

• YouTube
• 1 hour 39 minutes
• On-Demand
• Free Video

Yannic Kilcher

Shortcut Learning in Deep Neural Networks

Explore deep neural networks' shortcut learning, its impact on AI generalization, and strategies to improve model robustness and real-world applicability.

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

APS Physics

Bridging Deep Learning and Many-Body Quantum Physics via Tensor Networks

Explore connections between deep learning and quantum physics through tensor networks, examining architectures, entanglement measures, and information flow in neural networks.

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

International Mathematical Union

Deep Neural Networks via Monotone Operators

Explore deep equilibrium models, their theoretical foundations, and applications in machine learning, including guaranteed convergence and robustness in neural networks.

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