Autoencoders Courses and Certifications

The Julia Programming Language

New Features of the Beta Machine Learning Toolkit (BetaML) - Missing Value Imputation, Autoencoders, and Variable Importance Metrics

Discover BetaML.jl's latest features: missing value imputation, autoencoders for dimensionality reduction, and variable importance metrics in this Julia ML toolkit overview.

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

Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

Compressed Representations in Deep Learning: From Algorithmic Information to Autoencoders and Neural Networks

Dive into compressed representations and algorithmic information theory, exploring deep learning concepts and autoencoder applications in modern neural networks.

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

Career Certificate

Mastering Dimensionality Reduction with Python

Master Python-based dimensionality reduction techniques from PCA to autoencoders, learning to extract essential features from complex datasets and optimize machine learning model performance through hands-on practice.

• CodeSignal
• 15 hours
• Self-Paced
• Free Certificate
• 5 courses

Career Certificate

Mastering Dimensionality Reduction with R

Discover how to simplify complex data using PCA, linear/non-linear techniques, autoencoders, and feature selection in R for enhanced machine learning performance.

• CodeSignal
• 15 hours
• Self-Paced
• Free Certificate
• 5 courses

Advanced Neural Network Techniques

Master advanced neural network architectures including RNNs, Autoencoders, GANs, and Deep Reinforcement Learning through hands-on projects and real-world applications, from mathematical foundations to practical implementation.

• Coursera
• 10 hours 48 minutes
• Self-Paced
• Paid Course

Deep Learning Methods for Healthcare

15 ratings at Coursera

Explore deep learning methods for healthcare applications, covering embedding, CNNs, RNNs, and autoencoders. Gain practical experience through labs, assignments, and a large project with potential for publication.

• Coursera
• 22 hours
• Self-Paced
• Paid Course

A deep understanding of deep learning (with Python intro)

6254 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 19 minutes
• Self-Paced
• Paid Course

Career Certificate

Graduate Certificate in Artificial Intelligence

1 rating

Develop a strong foundation in key AI topics including statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions.

• Coursera
• Self-Paced
• Paid Course

Deep Learning for Computer Vision

25 ratings at Coursera

Master CNNs, autoencoders, GANs, ResNet, and U-Net architectures to build powerful computer vision models for image classification, generation, and segmentation tasks.

• Coursera
• 14 hours 5 minutes
• Self-Paced
• Paid Course

Unsupervised Deep Learning in Python

2473 ratings at Udemy

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

• Udemy
• 10 hours 3 minutes
• Self-Paced
• Paid Course

Deep Generative Models - Lecture 5: Variational Autoencoders

Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this comprehensive Stanford lecture.

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

Deep Generative Models - Lecture 6: Variational Autoencoders

Explore Variational Autoencoders (VAEs) in deep generative modeling, covering theoretical foundations and practical applications in this Stanford lecture by Prof. Stefano Ermon.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Packt

Advanced PyTorch Techniques and Applications

32 ratings at Coursera

Master advanced PyTorch techniques for recommender systems, autoencoders, GANs, GNNs, and transformers. Explore NLP, model deployment, and optimization using PyTorch Lightning. Ideal for experienced data scientists and ML engineers.

• Coursera
• 11 hours 23 minutes
• Self-Paced
• Paid Course

Edureka

Generative AI Foundations

17 ratings at Coursera

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
• 9 hours 8 minutes
• Self-Paced
• Paid Course

Edureka Career Certificate

Generative AI for Software Engineers & Developers

16 ratings at Coursera

Master generative AI tools and techniques to revolutionize your software development workflow, from coding assistants to intelligent applications and secure development practices.

• Coursera
• 16 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses