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Learn Backpropagation, earn certificates with paid and free online courses from Alexander Amini, University of Pennsylvania, IIT Madras, NPTEL and other top universities around the world. Read reviews to decide if a class is right for you.
Explore deep learning in the brain, backpropagation, and credit assignment algorithms. Discover neuroscience evidence and new models of neurons in this computational brain theory talk.
Explore a biologically plausible variant of backpropagation and its potential role in brain learning, discussing feedback connections and error signal approximation in cortical networks.
Implement backpropagation and gradient descent from scratch in Python, training a neural network to perform arithmetic sum. Includes step-by-step coding and explanations.
Explore the theory and mathematics behind neural network training, focusing on backpropagation and gradient descent algorithms for deep learning enthusiasts.
Explore stochastic gradient descent, backpropagation, and neural network implementation in PyTorch. Learn practical tricks, basic modules, and gradient computation for effective deep learning.
Explore backpropagation, a crucial technique for training deep neural networks through gradient descent, with insights from ASU's Paulo Shakarian.
Explore neural networks, perceptrons, and deep learning fundamentals. Master backpropagation, stochastic gradient descent, and kernel methods through Python coding assignments.
Master neural network fundamentals by building core AI components from scratch, including perceptrons, activation functions, and backpropagation - all without relying on high-level libraries.
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…
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.
The MOST in-depth look at neural network theory for machine learning, with both pure Python and Tensorflow code
Deep Learning and Neural Networks Theory and Applications with PyTorch! Including Transformers, BERT and GPT!
Build Deep Learning Algorithms with TensorFlow 2.0, Dive into Neural Networks and Apply Your Skills in a Business Case
The Best Machine Learning Techniques for Data Science in Java and Neuroph with Application in Image Recognition
Learn the fundamentals of Deep Learning of neural networks in Python both in theory and practice!
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