Autoencoders Courses and Certifications

Convolutional Neural Networks

Learn to build and apply Convolutional Neural Networks for image processing, including classification, object detection, and segmentation. Explore key architectures, transfer learning, and autoencoders for practical applications.

• Udacity
• 4 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Microcredential

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
• On-Demand
• Free Certificate
• 5 courses

Deep Learning Methods for Healthcare

13 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
• Free Online Course (Audit)

Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize

46917 ratings at Udemy

Learn to create Deep Learning models in Python from two Machine Learning, Data Science experts. Code templates included.

• Udemy
• 22 hours 35 minutes
• On-Demand
• Paid Course

A deep understanding of deep learning (with Python intro)

4510 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

2353 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

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

Packt

Advanced Machine Learning and Deep Learning

Master advanced machine learning and deep learning techniques, from neural networks to CNNs and RNNs. Apply knowledge through hands-on labs, covering regression, classification, and specialized topics like autoencoders and transfer learning.

• Coursera
• 7 hours 7 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Advanced PyTorch Techniques and Applications

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 8 minutes
• 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 Video

IIT Kharagpur;  NPTEL

Deep Learning For Visual Computing

1 review

Deep learning is a genre of machine learning algorithms that attempt to solve tasks by learning abstraction in data following a stratified description paradigm using non-­linear transforma

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