Backpropagation Courses and Certifications

Deep Learning

Master neural networks, CNNs, RNNs, transformers, and generative models with theory and applications in computer vision, NLP, and robotics from MIT.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Alfredo Canziani

Gradient Descent and the Backpropagation Algorithm

Explore gradient descent and backpropagation algorithms, covering supervised learning, parametrized models, loss functions, and neural network architectures with PyTorch implementation.

• YouTube
• 1 hour 51 minutes
• Self-Paced
• Free Video

Neural Networks in Python from Scratch: Complete guide

665 ratings at Udemy

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

• Udemy
• 8 hours 42 minutes
• Self-Paced
• Paid Course

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

516 ratings at Udemy

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

• Udemy
• 3 hours 39 minutes
• Self-Paced
• Paid Course

3Blue1Brown

Neural Networks and Deep Learning Fundamentals

Discover neural networks fundamentals and backpropagation through visual explanations, plus explore transformers and LLMs that power modern AI applications.

• YouTube
• 3 hours 4 minutes
• Self-Paced
• Free Video

Coding Train

Neural Networks - The Nature of Code

Dive into neural networks from perceptrons to backpropagation with hands-on coding examples, matrix math, and practical projects like doodle classification.

• YouTube
• 8 hours 48 minutes
• Self-Paced
• Free Video

Coding Train

Neural Networks - Intelligence and Learning - Session 4

Dive into neural networks fundamentals, from perceptrons to multilayer networks, matrix math, feedforward algorithms, and backpropagation with hands-on coding challenges.

• YouTube
• 6 hours 51 minutes
• Self-Paced
• Free Video

NPTEL;  IIT Ropar

Deep Learning

In this course, we will learn about the building blocks used in these Deep Learning based solutions. Specifically, we will learn about feedforward neural networks, convolutional neural networks, recurrent neural networks and attention mechanisms.

• YouTube
• 1 day 3 hours
• Self-Paced
• Free Video

Neural Networks Demystified

In this short series, we will build and train a complete Artificial Neural Network in python.

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

Training Machines to Learn the Way Humans Do - An Alternative to Backpropagation

Explore an alternative to backpropagation in machine learning, focusing on biologically-inspired local learning methods and their applications in neural networks and the cerebellum.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Data Science Courses

Recurrent Neural Networks and Backpropagation Through Time - Lecture 8

Dive into recurrent neural networks, exploring LSTM, GRU architectures, and advanced concepts like backpropagation through time and gradient challenges in deep learning implementations.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Introduction to Deep Learning - Lecture 1

Discover deep learning fundamentals through Stanford's CS230 introduction, covering class overview, real-world project examples, and essential details for mastering AI applications.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Stanford Seminar - Can the Brain Do Back-Propagation?

Explore the brain's potential for back-propagation learning, examining challenges, alternative methods, and implications for neuroscience and machine learning.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• Free Online Course

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
• Self-Paced
• Paid Course

Qiskit

Operator Backpropagation - Designing New Algorithms with Qiskit

Discover operator backpropagation (OBP) in Qiskit to reduce quantum circuit depth for expectation value calculations across chemistry, materials science, and optimization domains.

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