Neural Networks Courses and Certifications

Graham Neubig

Neural Networks for Natural Language Processing 2018

Master neural network architectures for natural language processing through comprehensive coverage of CNNs, RNNs, attention mechanisms, and structured prediction techniques.

• YouTube
• 21 hours 20 minutes
• On-Demand
• Free Video

Graham Neubig

Neural Networks for Natural Language Processing 2017

Dive into neural networks for natural language processing with comprehensive coverage from word embeddings to advanced parsing, attention mechanisms, and multilingual learning.

• YouTube
• 1 day 3 hours 5 minutes
• On-Demand
• Free Video

Pysource

Neural Networks from Scratch with Python and OpenCV

Master neural network fundamentals by building image classifiers from scratch using Python and OpenCV, covering neurons, training, datasets, and backpropagation.

• YouTube
• 3 hours 45 minutes
• On-Demand
• Free Video

Python Lessons

Convolutional Neural Networks Tutorials

Master CNN fundamentals and build neural networks using TensorFlow and Keras through hands-on tutorials covering ResNets and deep learning techniques.

• YouTube
• 2 hours 4 minutes
• On-Demand
• Free Video

Edan Meyer

Build Neural Networks from Scratch

Master neural network fundamentals by building from scratch, covering forward propagation, gradient descent, backpropagation, and transitioning to TensorFlow implementation.

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

Microcredential

AI Programming with Python

39 reviews

Develop Python skills for AI, covering libraries, linear algebra, calculus, and neural networks. Build an image classifier using PyTorch and explore Transformer models.

• Udacity
• 52 hours
• On-Demand
• Paid Course

Deep Teaching Solutions

Accelerate Your Learning with ChatGPT

37 reviews

Explore AI-enhanced learning strategies, combining neuroscience insights with ChatGPT to boost cognitive abilities, improve study techniques, and foster critical thinking skills.

• Coursera
• 4 hours 51 minutes
• On-Demand
• Paid Course

Getting Robust - Securing Neural Networks Against Adversarial Attacks

Explore adversarial attacks on machine learning, their impact, and defense strategies. Learn to incorporate adversarial considerations in research and development for more robust AI systems.

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

Regularization of Big Neural Networks

Explore regularization techniques for large neural networks, including DropOut, DropConnect, and stochastic pooling. Learn about deconvolutional networks and their applications in computer vision tasks.

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

Great Learning

Multilayer Perceptron - Back Propagation in Neural Networks

This tutorial on "Multi-Layer Perceptron" will help you to master all the core concepts of multi layer perceptrons and deep neural networks.

• YouTube
• 2 hours 8 minutes
• On-Demand
• Free Video

Simons Institute

In Search of New Algorithms Part I - Neural Networks

Explore neural networks and their role in developing new algorithms, focusing on computational complexity and statistical inference challenges.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Simons Institute

The Interpolation Phase Transition in Neural Networks - Memorization and Generalization Lazy Training

Explores overparametrization in neural networks, focusing on two-layer models in the neural tangent regime. Analyzes interpolation, optimization landscape, and generalization error under specific data assumptions.

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

Simons Institute

Towards Verification of General Neural Networks: A Dual Approach

Explore a dual approach for verifying general neural networks, focusing on mathematical and computational challenges in real-time decision making.

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

Simons Institute

Learning One-Hidden-Layer Neural Networks with Landscape Design

Explore optimization techniques for one-hidden-layer neural networks, focusing on landscape design and new objective functions to overcome traditional training challenges.

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

Simons Institute

Composing Graphical Models with Neural Networks for Structured Representations and Fast Inference

Explore structured representations and fast inference by combining graphical models with neural networks, enhancing machine learning capabilities.

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