Backpropagation Courses and Certifications

Credential

Neural Networks from Scratch using Python and Numpy

Master neural network fundamentals by building from scratch with Python and NumPy, covering neurons, backpropagation, and real-world applications.

• CodeSignal
• 10 hours
• Self-Paced
• Free Certificate
• 4 courses

Credential

Build a Neural Network from Scratch in R

Master neural network construction in R from neurons to backpropagation, building your own library to tackle real-world ML challenges without relying on black-box solutions.

• CodeSignal
• 10 hours
• Self-Paced
• Free Certificate
• 4 courses

Credential

Build a Neural Network from Scratch in Javascript

Master neural network fundamentals by coding from scratch in JavaScript, covering neurons, backpropagation, and real-world ML applications without relying on black boxes.

• CodeSignal
• 10 hours
• Self-Paced
• Free Certificate
• 4 courses

Neural Networks

Master neural network fundamentals by implementing perceptrons, activation functions, and backpropagation from scratch in C++ without high-level libraries.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Stanford CS221 - Artificial Intelligence: Principles and Techniques - Autumn 2021

2 ratings

Master AI fundamentals through Stanford's comprehensive exploration of machine learning, search algorithms, probabilistic models, logic systems, and real-world applications.

• YouTube
• 1 day 7 hours 10 minutes
• Self-Paced
• Free Video

Introduction to Neural Networks and Deep Learning with Python

Explore neural networks and deep learning with Python, covering optimization, regularization, transfer learning, and autoencoders to build, train, and evaluate models for real-world AI applications.

• edX
• 32 hours
• Self-Paced
• Free Online Course (Audit)

Deep Learning Essentials

Explore neural networks, perceptrons, and deep learning fundamentals. Master backpropagation, stochastic gradient descent, and kernel methods through Python coding assignments.

• Coursera
• 15 hours 41 minutes
• Self-Paced
• Paid Course

Stanford CS224N - Natural Language Processing with Deep Learning - Winter 2021

Master neural networks, transformers, and attention mechanisms for text processing, translation, and language generation through Stanford's comprehensive deep learning approach.

• YouTube
• 1 day 7 hours 31 minutes
• Self-Paced
• Free Video

Deep Learning and Reinforcement Learning

294 ratings at Coursera

Explore neural networks, deep learning architectures, and reinforcement learning. Gain hands-on practice with Keras, CNNs, transfer learning, RNNs, autoencoders, and generative models for AI applications.

• Coursera
• 1 day 7 hours 22 minutes
• Self-Paced
• Paid Course

Deep Learning with TensorFlow 2.0

4876 ratings at Udemy

Build Deep Learning Algorithms with TensorFlow 2.0, Dive into Neural Networks and Apply Your Skills in a Business Case

• Udemy
• 5 hours 55 minutes
• Self-Paced
• Paid Course

The Complete Neural Networks Bootcamp: Theory, Applications

2999 ratings at Udemy

Deep Learning and Neural Networks Theory and Applications with PyTorch! Including Transformers, BERT and GPT!

• Udemy
• 1 day 19 hours 47 minutes
• Self-Paced
• Paid Course

Introduction to Artificial Neural Network and Deep Learning

1979 ratings at Udemy

The Best Machine Learning Techniques for Data Science in Java and Neuroph with Application in Image Recognition

• Udemy
• 7 hours 3 minutes
• Self-Paced
• Paid Course

Alexander Amini;  MIT

Introduction to Deep Learning

1 rating

Comprehensive introduction to deep learning fundamentals, covering perceptrons, neural networks, loss functions, gradient descent, backpropagation, and regularization techniques.

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

Deep Learning

34 ratings at Coursera

Explore neural networks, CNNs, RNNs, transformers, generative models, and advanced techniques in this comprehensive introduction to deep learning for aspiring ML engineers and data scientists.

• Coursera
• 2 days 9 hours 8 minutes
• Self-Paced
• Paid Course

Deep Learning with PyTorch

95 ratings at Coursera

Advance your deep learning skills with PyTorch, covering neural networks, convolutional architectures, and advanced techniques through hands-on exercises and a final CNN project.

• Coursera
• 18 hours 33 minutes
• Self-Paced
• Paid Course