Autoencoders Courses and Certifications

A deep understanding of deep learning (with Python intro)

4322 ratings at Udemy

Master deep learning in PyTorch using an experimental scientific approach, with lots of examples and practice problems.

• Udemy
• 2 days 9 hours 20 minutes
• On-Demand
• Paid Course

Unsupervised Deep Learning in Python

2350 ratings at Udemy

Autoencoders, Restricted Boltzmann Machines, Deep Neural Networks, t-SNE and PCA

• Udemy
• 10 hours 8 minutes
• On-Demand
• Paid Course

TensorFlow 2.0 Practical Advanced

337 ratings at Udemy

Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 5 advanced practical projects

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

TensorFlow and the Google Cloud ML Engine for Deep Learning

305 ratings at Udemy

CNNs, RNNs and other neural networks for unsupervised and supervised deep learning

• Udemy
• 17 hours
• On-Demand
• Paid Course

Université de Montréal

Les coulisses des systèmes de recommandation

Exploration approfondie des systèmes de recommandation, couvrant l'apprentissage automatique, l'évaluation, la modélisation avancée, les bandits contextuels, le classement et l'équité algorithmique.

• edX
• 3 weeks, 29-31 hours a week
• On-Demand
• Free Online Course (Audit)

Deep Learning Foundation

37 ratings at Udemy

Overview of Deep Learning concepts. Understand what are the Deep Learning Models, Platforms, Libraries and how they work

• Udemy
• 8 hours 52 minutes
• On-Demand
• Paid Course

Deep Learning with Tensorflow

14 ratings at edX

Much of theworld's data is unstructured. Think images, sound, and textual data. Learn how to apply Deep Learning with TensorFlow to this type of data to solve real-world problems.

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

Edureka

Generative AI Foundations

Explore Generative AI's foundations, applications, and advanced models. Master prompt engineering, code generation, and cutting-edge techniques like GANs and transformers for innovative AI solutions.

• Coursera
• 8 hours 24 minutes
• On-Demand
• Free Online Course (Audit)

Mastering Deep Learning

Comprehensive exploration of Artificial Neural Networks and Convolutional Neural Networks, covering fundamental principles, applications, and practical implementation in diverse domains.

• Swayam
• 6 weeks
• On-Demand
• Free Online Course

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 Online Course

Alexander Amini;  MIT

Deep Generative Modeling

1 review

Explore deep generative modeling, including autoencoders, variational autoencoders, and GANs. Learn about latent variable models, reparameterization tricks, and recent advances in generative AI techniques.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Online Course

NPTEL;  IIT Kharagpur

Deep Learning for Visual Computing

1 review

Comprehensive exploration of deep learning techniques for visual computing, covering neural networks, autoencoders, and CNNs with hands-on implementations using Python and popular datasets.

• YouTube
• 11 hours
• On-Demand
• Free Online Course

NPTEL;  IIT Kharagpur

Deep Learning

Comprehensive exploration of deep learning concepts, from feature descriptors to advanced neural networks, covering theory and practical applications in computer vision and generative models.

• YouTube
• 1 day 7 hours
• On-Demand
• Free Online Course

Irreversibility of Biological Active Matter

Explore the fascinating world of biological active matter, focusing on irreversibility in living systems and its implications for understanding complex dynamics and nonreciprocal behaviors.

• YouTube
• 59 minutes
• On-Demand
• Free Online Course

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