Neural Networks Courses and Certifications

University of Helsinki;  MinnaLearn

Elements of AI

794 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

Stanford Seminar - Google's Multilingual Neural Machine Translation System

1 review

Explore Google's Multilingual Neural Machine Translation System in this 1-2 hour seminar by Stanford University. Delve into the history, design, and potential of this deep learning innovation.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Concepts and Questions as Programs

Explore Stanford University's seminar on AI and cognitive science, focusing on concept learning and question asking. Learn about program induction and synthesis, with applications in various fields.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Online Course

Stanford Seminar 2022 - Transformer Circuits, Induction Heads, In-Context Learning

Stanford University offers a brief seminar on reverse engineering transformer language models, focusing on "induction head circuits" for enhanced in-context learning. Led by AI expert Chris Olah.

• YouTube
• 1 hour
• On-Demand
• Free Online Course

Self-Training - Weak Supervision Using Untrained Neural Nets for MR Reconstruction - Beliz Gunel

Explore Stanford's short program on using untrained neural networks for MR reconstruction, offering insights into self-training, weak supervision, and overcoming slow inference bottlenecks.

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

Optimizing for Interpretability in Deep Neural Networks - Mike Wu

Stanford University offers a short, intensive study on optimizing interpretability in deep neural networks, focusing on medical prediction tasks. Led by PhD student Mike Wu.

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

The Lottery Ticket Hypothesis - Michael Carbin

Explore neural network pruning techniques with MIT's Michael Carbin. Learn about the Lottery Ticket Hypothesis and its potential for more efficient machine learning methods.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Online Course

DeepLearning.AI;  Stanford

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

63001 ratings at Coursera

DeepLearning.AI offers a 3-week course on improving deep neural networks, covering hyperparameter tuning, regularization, optimization, and TensorFlow implementation.

• Coursera
• 23 hours 35 minutes
• On-Demand
• Free Online Course (Audit)

Artificial Neural Network for Regression

5589 ratings at Udemy

Build an ANN Regression model to predict the electrical energy output of a Combined Cycle Power Plant

• Udemy
• 1 hour 12 minutes
• On-Demand
• Free Online Course

Neural Networks in Python: Deep Learning for Beginners

1344 ratings at Udemy

Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python

• Udemy
• 9 hours 21 minutes
• On-Demand
• Paid Course

Artificial Neural Networks for Business Managers in R Studio

529 ratings at Udemy

You do not need coding or advanced mathematics background for this course. Understand how predictive ANN models work

• Udemy
• 7 hours 42 minutes
• On-Demand
• Paid Course

Machine Learning & Training Neural Network in MATLAB

178 ratings at Udemy

Machine Learning | Learn concepts of Machine Learning and how to train a Neural Network in MATLAB on Iris data-set.

• Udemy
• 1-2 hours
• On-Demand
• Paid Course

Neural Networks and Random Forests

Explore advanced AI techniques with LearnQuest's 3-week course. Dive into neural networks, code models, and study random forests. Includes practical projects.

• Coursera
• 10 hours 16 minutes
• On-Demand
• Free Online Course (Audit)

Deep Learning : Computer Vision Beginner to Advanced Pytorch

110 ratings at Udemy

Go Beginner to Pro in Computer Vision in Pytorch / Python with Expert Tips Convolutional Neural Network Deep Learning

• Udemy
• 8 hours
• On-Demand
• Paid Course