Neural Networks Courses and Certifications

USENIX

Fast, Lean, and Accurate - Modeling Password Guessability Using Neural Networks

Neural networks for modeling password guessability: faster, smaller, and more accurate than existing methods. Enables real-time, client-side password strength evaluation with sub-second latency.

• YouTube
• 27 minutes
• Self-Paced
• Conference Talk

USENIX

The Secret Sharer - Evaluating and Testing Unintended Memorization in Neural Networks

Explore techniques to evaluate and mitigate unintended memorization in neural networks, focusing on privacy risks and practical strategies for deep learning practitioners.

• YouTube
• 21 minutes
• Self-Paced
• Conference Talk

Alexander Amini

Convolutional Neural Networks

Explore convolutional neural networks for computer vision, covering feature extraction, convolution operations, and applications like object detection and self-driving cars.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

RSA Conference

Attacking Machine Learning - On the Security and Privacy of Neural Networks

Explore security vulnerabilities in neural networks, including adversarial examples and data extraction, to understand potential threats and necessary defenses in modern machine learning systems.

• YouTube
• 48 minutes
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Applied Algebraic Topology Network

Cell Complex Neural Networks

Exploring neural network computations on cell complexes, generalizing graph neural networks and introducing inter-cellular message passing schemes that consider underlying topology.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Devoxx

Neural Networks - Walkthrough

Comprehensive walkthrough of neural networks with visual aids, demystifying concepts like 'tanh' and explaining how they work, suitable for beginners struggling with implementation.

• YouTube
• 1 hour 50 minutes
• Self-Paced
• Conference Talk

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
• Self-Paced
• Conference Talk

Bolei Zhou

Understanding Deep Neural Networks - CVPR 2020 iMLCV Tutorial

Explore deep neural network interpretability through meaningful perturbations, extremal perturbations, and activation analysis. Learn techniques for understanding and improving model behavior in computer vision tasks.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Simons Institute

Knowledge Is Embedded in Language Neural Networks but Can They Reason?

Explore language models' reasoning capabilities, from n-grams to transformers, and discuss future research directions in neural state machines for improved natural language understanding.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

Databricks

Benchmarks and How-Tos for Convolutional Neural Networks on HorovodRunner-Enabled Apache Spark Clusters

Explore benchmarks and implementation techniques for distributed deep learning using HorovodRunner on Apache Spark clusters, focusing on CNN tasks and scaling efficiency for both GPU and CPU clusters.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Eran Feit

Convolutional Neural Networks - Deep Learning Basics with Python, TensorFlow and Keras

Learn to build and train a convolutional neural network for chess piece image classification using Python, TensorFlow, and Keras. Covers dataset preparation, model creation, and prediction testing.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Hack In The Box Security Conference

Neuralfuzz - Neural Networks for Fuzzing Web Apps

Explore neural network-based fuzzing for web apps, enhancing coverage and efficiency in identifying vulnerabilities through machine learning and intelligent payload generation.

• YouTube
• 1 hour
• Self-Paced
• Conference Talk