Neural Networks Courses and Certifications

Applying Neural Networks Webinar Series: Wolfram U

Explore cutting-edge workflows for neural networks, learning to build, train, and evaluate models for complex image, audio, and language processing tasks using Wolfram Language functionality.

• Wolfram U
• 3 hours
• On-Demand
• Free Online Course

Recurrent Neural Networks: Wolfram U Class

Explore recurrent neural networks for sequential data, including implementation and advanced applications using Wolfram Language's neural network framework.

• Wolfram U
• 27 minutes
• On-Demand
• Free Online Course

Understanding AI from Scratch - Neural Networks Course

Build neural networks from scratch, teaching a virtual car to drive. Learn AI fundamentals through hands-on coding and practical applications in this comprehensive tutorial.

• freeCodeCamp
• 3 hours 44 minutes
• On-Demand
• Free Video

Introduction to Neural Networks

Delve into the inner machinery of neural networks to discover how these flexible learning tools actually work.

• Brilliant
• 4 hours
• On-Demand
• Paid Course

Stanford Seminar - Neural Networks on Chip Design from the User Perspective

We will briefly review our past effort on Deep learning Processing Unit (DPU) design on FPGA in Tsinghua and Deephi, and then talk about some features, i.e. interrupt and virtualization, we are trying to introduce into the accelerators from the user's pe…

• YouTube
• 58 minutes
• On-Demand
• Free Online Course

Democratizing Model Discovery with Neural Networks

Explore how neural networks revolutionize automated model discovery for soft materials, making it accessible to a diverse community and accelerating scientific innovation in various fields.

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

TensorFlow

Intro to Graph Neural Networks

Comprehensive introduction to graph neural networks, covering theory, applications, and hands-on practice with a Colab exercise. Ideal for those interested in advanced machine learning techniques.

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

MITCBMM

Liquid Neural Networks

Explore Liquid Time-Constant Networks, a novel continuous-time neural network model with superior expressivity and improved performance in time-series prediction tasks.

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

Jeff Heaton

Introduction to Neural Networks for Java

Master neural network programming fundamentals in Java through hands-on implementation of algorithms, backpropagation, genetic algorithms, and real-world applications.

• YouTube
• 6 hours 48 minutes
• On-Demand
• Free Video

Jeff Heaton

Introduction to Neural Networks Programming in C# - 2009

Discover neural network programming fundamentals in C# through hands-on implementation of backpropagation, genetic algorithms, and real-world applications like stock prediction.

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

Neural Networks

This playlist has everything you need to know about Neural Networks, from the basics, all the way to image classification with Convolutional Neural Networks.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

Neural Networks in R and the MNIST Data - Lecture 10.R.1

Explore neural networks using R and MNIST data, learning practical implementation of deep learning techniques for image recognition and statistical analysis.

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

Optimizing for Interpretability in Deep Neural Networks - Mike Wu

Explore techniques for making deep neural networks more interpretable through regularization, focusing on medical applications in critical care and HIV treatment. Insights on balancing model performance with human-understandable decision processes.

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

Great Learning

Neural Network Tutorial - Artificial Neural Network and Backpropagation in Neural Networks

2 reviews

In this 'Neural Network' Tutorial, you will comprehensively learn about all the concepts of Artificial neural networks and the importance of Back-propagation in Neural Networks.

• YouTube
• 1 hour 31 minutes
• On-Demand
• Free Video

University of Helsinki;  MinnaLearn

Elements of AI

946 reviews

The elements of AI is a free online course for everyone interested in learning what AI is, what is possible (and not possible) with AI, and how it affects our lives – with no complicated math or programming required.

• Independent
• 6 weeks, 5-10 hours a week
• On-Demand
• Free Online Course

• Best of All Time