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

Packt Microcredential

Deep Learning with Real-World Projects

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
• On-Demand
• Paid Course

Deep Learning with PyTorch

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
• 20 hours 12 minutes
• On-Demand
• Free Online Course (Audit)

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 4 minutes
• On-Demand
• Free Online Course (Audit)

Neural Networks Demystified

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

• YouTube
• 30 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Online 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 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)

Neural Networks and Convolutional Neural Networks Essential Training

530 ratings at LinkedIn Learning

Take a deep dive into neural networks and convolutional neural networks, two key concepts in the area of machine learning.

• LinkedIn Learning
• 1 hour 19 minutes
• On-Demand
• Free Trial Available

CAP5415 - Training Neural Networks Part 2 - Fall 2020 - Lecture 7

Explore advanced neural network training techniques, including loss functions, backpropagation, gradient descent optimization, and strategies to address common challenges in deep learning.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Training Neural Networks for Computer Vision - Part I - Lecture 10

Explore neural network training techniques, including gradient descent, loss functions, and backpropagation, for effective computer vision model optimization and performance improvement.

• YouTube
• 36 minutes
• On-Demand
• Free Video