Backpropagation Courses and Certifications

echohive

Spiking Neural Network from Scratch - Bio-Inspired, No Backpropagation or SGD

Discover how to build bio-inspired spiking neural networks from scratch without traditional backpropagation or SGD optimization methods.

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

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

Deep Learning with TensorFlow

Learn TensorFlow for deep learning: from basics to advanced architectures. Master neural networks, CNNs, RNNs, and autoencoders. Practical applications in image, sound, and text processing.

• Cognitive Class
• 3 hours
• Self-Paced
• Free Online Course

Constructing and Training Neural Networks

1 rating at Udacity

Master the fundamentals of deep learning by building, training, and evaluating neural networks from scratch using PyTorch, covering architectures, loss functions, optimizers, and performance tuning.

• Udacity
• 15 hours
• Self-Paced
• Paid Course

Introduction to Neural Networks with TensorFlow

Learn the fundamentals of neural networks with Python and TensorFlow, and then use your new skills to create your own image classifier—an application that will first train a deep learning model on a dataset of images and then use the trained model to cla…

• Udacity
• 17 hours
• Self-Paced
• Paid Course

Deep Learning Interview Prep Course

Comprehensive deep learning interview preparation covering 50 common questions, from basic concepts to advanced topics like optimization, regularization, and model architecture.

• freeCodeCamp
• 4 hours
• Self-Paced
• Free Video

Neural Networks: Zero to Hero

Discover how to build neural networks from scratch, progressing from basic backpropagation to modern GPT transformers through hands-on implementation of language models.

• Independent
• 14 hours 32 minutes
• Self-Paced
• Free Online Course

Alexander Amini;  MIT

MIT: Recurrent Neural Networks

2 ratings

Explore deep sequence modeling with recurrent neural networks, including LSTMs and attention mechanisms. Learn to tackle challenges like vanishing gradients and long-term dependencies in sequence tasks.

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

Brandon Rohrer

How Convolutional Neural Networks Work

1 rating

Explore the inner workings of Convolutional Neural Networks, from basic concepts to advanced techniques, in this comprehensive guided tour of deep learning architecture.

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

NPTEL;  IIT Madras

Machine Learning

The course places machine learning in its context within AI and gives an introduction to the most important core techniques such as decision tree-based inductive learning, inductive logic programming, reinforcement learning and deep learning through deci…

• YouTube
• 16 hours
• Self-Paced
• Free Video

NPTEL;  IISc Bangalore

Pattern Recognition

This course provides a fairly comprehensive view of the fundamentals of pattern classification and regression. Topics covered in the lectures include an overview of pattern classification and regression; Bayesian decision making and Bayes classifier

• YouTube
• 1 day 5 hours
• Self-Paced
• Free Video

Neural Networks

This playlist has everything you need to know about Neural Networks, from the basics, all the way to image classification with Convolutional Neural Networks.

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

Great Learning

Artificial Intelligence Tutorial for Beginners - AI Full Course

Keeping the importance of artificial intelligence in mind, we have come up with this full course on Artificial Intelligence.

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

Alfredo Canziani

History, Motivation, and Evolution of Deep Learning

Explore the history, motivation, and evolution of deep learning, covering key concepts like gradient descent, backpropagation, CNNs, and feature extraction in neural networks.

• YouTube
• 1 hour 39 minutes
• Self-Paced
• Free Video

Python Engineer

Deep Learning With PyTorch - Full Course

Comprehensive PyTorch tutorial covering fundamentals, advanced concepts, and practical implementations for deep learning, from tensor basics to CNNs and transfer learning.

• YouTube
• 4 hours 36 minutes
• Self-Paced
• Free Video