Neural Networks Courses and Certifications

University of Helsinki;  MinnaLearn

Elements of AI

759 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

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

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

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

62864 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

5310 ratings at Udemy

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

• Udemy
• 1 hour 13 minutes
• On-Demand
• Free Online Course

Neural Networks in Python: Deep Learning for Beginners

1322 ratings at Udemy

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

• Udemy
• 9 hours 22 minutes
• On-Demand
• Paid Course

Artificial Neural Networks for Business Managers in R Studio

525 ratings at Udemy

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

• Udemy
• 7 hours 41 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

Learn Artificial Neural Network From Scratch in Python

67 ratings at Udemy

The MOST in-depth look at neural network theory, and how to code one with pure Python and Numpy

• Udemy
• 18 hours 13 minutes
• On-Demand
• Paid Course

Neural Networks Made Easy

33 ratings at Udemy

Learn the fundamentals of neural networks and deep learning, with a focus on coding from scratch. This course, requiring 1-2 hours of study, uses Python, NumPy, and Pandas.

• Udemy
• 1-2 hours
• On-Demand
• Free Online Course