Backpropagation Courses and Certifications

Learn Artificial Neural Network From Scratch in Python

68 ratings at Udemy

The MOST in-depth look at neural network theory, and how to code one with pure Python and Numpy

• Udemy
• 18 hours 13 minutes
• On-Demand
• Paid Course

Learning Deep Learning: Unit 1

1 review

Discover neural networks, backpropagation, and modern frameworks like TensorFlow through hands-on programming exercises covering deep learning fundamentals and advanced techniques.

• Coursera
• 5 hours 15 minutes
• On-Demand
• Paid Course

Deep Learning: Getting Started

1254 ratings at LinkedIn Learning

Learn the basics of deep learning and get up and running with this technology.

• LinkedIn Learning
• 1 hour 14 minutes
• On-Demand
• Free Trial Available

Deep Learning Fundamentals with Keras

31 ratings at edX

New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.

• edX
• 5 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Packt Microcredential

Deep Learning with Real-World Projects

7 ratings at Coursera

Master deep learning through hands-on projects. Apply neural networks, CNNs, and transfer learning to real-world scenarios using TensorFlow and Keras. Build a portfolio showcasing expertise in AI development.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course

Deep Learning

Master the fundamentals of neural networks, from MLPs and CNNs to RNNs and Transformers, through hands-on programming and practical training techniques for building modern AI systems.

• edX
• 6 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

Machine Learning with Neural Networks

Explore neural network fundamentals, backpropagation, regularization, and Bayesian methods for machine learning with hands-on TensorFlow implementation.

• Coursera
• 1 day 12 hours 52 minutes
• On-Demand
• Paid Course

Deep Learning Essentials

Explore fundamental concepts of deep learning, including neural networks, convolutional and recurrent architectures, and their applications in various industries. Gain insights into fairness and bias in machine learning.

• edX
• 5 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Whizlabs

NVIDIA: Fundamentals of Deep Learning

Dive into fundamental deep learning concepts, from neuron processing to CNNs and transfer learning, with hands-on demos using MNIST datasets and image recognition applications.

• Coursera
• 3 hours 44 minutes
• On-Demand
• Paid Course

Packt

Foundations of Deep Learning and Neural Networks

Master deep learning fundamentals, from neural network basics to advanced CNNs. Explore backpropagation, regularization techniques, and practical applications using TensorFlow and Keras. Ideal for tech professionals and students.

• Coursera
• 14 hours 19 minutes
• On-Demand
• Paid Course

Machine Learning: Deep & Reinforcement Learning

Get started in Reinforcement and Deep Learning! Explore the theory and practice behind neural networks, build deep learning models, and study modern architectures used in today’s AI applications.

• edX
• 2 weeks, 30-31 hours a week
• On-Demand
• Free Online Course (Audit)

LearnKartS

Become AI-Ready: Deep Learning Fundamentals

Discover how deep learning powers modern AI systems like ChatGPT through hands-on neural network training, backpropagation, and sequence modeling with RNNs and LSTMs.

• Coursera
• 8 hours 22 minutes
• On-Demand
• Paid Course

EDUCBA

Analyze and Build Deep Learning Models with TensorFlow

Master deep learning fundamentals and build practical TensorFlow models with hands-on implementation of neural networks, optimization techniques, and real-world applications.

• Coursera
• 4 hours 35 minutes
• On-Demand
• Paid Course

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
• On-Demand
• 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
• On-Demand
• Free Video