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

UofU Data Science

Interpretability of LLMs - Sparse Autoencoders Part 1

Discover how sparse autoencoders enhance interpretability in large language models through decomposition techniques and feature extraction methods.

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

Microcredential

Mastering Dimensionality Reduction with Python

8 ratings at CodeSignal

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
• On-Demand
• Free Certificate
• 5 courses

Microcredential

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
• On-Demand
• Free Certificate
• 5 courses

A deep understanding of deep learning (with Python intro)

6185 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
• On-Demand
• 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
• On-Demand
• Paid Course

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
• On-Demand
• 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
• On-Demand
• Paid Course

TensorFlow 2.0 Practical Advanced

353 ratings at Udemy

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

• Udemy
• 12 hours 38 minutes
• On-Demand
• Paid Course

TensorFlow and the Google Cloud ML Engine for Deep Learning

306 ratings at Udemy

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

• Udemy
• 17 hours 23 minutes
• On-Demand
• Paid Course

Deep Learning for Computer Vision

22 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
• On-Demand
• Paid Course

Microcredential

Graduate Certificate in Artificial Intelligence

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
• On-Demand
• Paid Course

AI for Suspicious Activity Monitoring

144 ratings at Udemy

Build AI-Powered Systems to Detect Anomalies, Fraud, and Unusual Patterns in Real-Time Using Machine Learning & Gen AI

• Udemy
• 2 hours 36 minutes
• On-Demand
• 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
• On-Demand
• Free Video