Backpropagation Courses and Certifications

Microcredential

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
• On-Demand
• 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
• On-Demand
• Free Certificate

Deep Learning with TensorFlow 2.0

4517 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
• On-Demand
• Paid Course

The Complete Neural Networks Bootcamp: Theory, Applications

2970 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
• On-Demand
• Paid Course

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

2 reviews

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
• On-Demand
• Free Video

Introduction to Artificial Neural Network and Deep Learning

1800 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
• On-Demand
• Paid Course

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
• On-Demand
• Paid Course

Neural Networks in Python from Scratch: Complete guide

647 ratings at Udemy

Learn the fundamentals of Deep Learning of neural networks in Python both in theory and practice!

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

Artificial Intelligence II - Hands-On Neural Networks (Java)

515 ratings at Udemy

Neural networks, gradient descent and backpropagation algorithms explained step by step

• Udemy
• 3 hours 39 minutes
• On-Demand
• 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
• On-Demand
• Free Video

Image Recognition with Neural Networks From Scratch(FREE)

219 ratings at Udemy

Learn to build an image recognition program from scratch in Python, covering neural networks, gradient descent, and backpropagation without using external libraries.

• Udemy
• 1 hour 38 minutes
• On-Demand
• Paid Course

Alexander Amini;  MIT

Introduction to Deep Learning

1 review

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

• YouTube
• 53 minutes
• On-Demand
• 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
• On-Demand
• Paid Course

Deep Learning with PyTorch

89 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
• On-Demand
• Paid Course

EDUCBA

AI & Machine Learning: Apply, Build & Solve

10 ratings at Coursera

Master AI fundamentals, search algorithms, neural networks, logic reasoning, expert systems with CLIPS, and probabilistic decision-making through hands-on practice and theory.

• Coursera
• 17 hours 41 minutes
• On-Demand
• Paid Course