Autoencoders Courses and Certifications

DigitalSreeni

Application of Autoencoders - Image Colorization

Learn to artificially colorize black and white images using autoencoders in Python. Explore the process, implementation, and practical application of this advanced image processing technique.

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

DigitalSreeni

An Introduction to Autoencoders - In Python

Learn to build and implement autoencoders in Python for image compression, reconstruction, and various applications like denoising and anomaly detection.

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

DigitalSreeni

Pre-Training U-Net Using Autoencoders - Autoencoders and Visualizing Features

Explore autoencoders, image reconstruction, and feature visualization in deep learning models through hands-on coding examples and practical demonstrations.

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

Valerio Velardo - The Sound of AI

Generation with AutoEncoders - Results and Limitations

Explore image generation using autoencoders, analyze latent space representations, and understand limitations in generative tasks. Learn why variational autoencoders are necessary for improved generation.

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

Valerio Velardo - The Sound of AI

How to Implement Autoencoders in Python and Keras - The Decoder

Learn to implement the decoder component of autoencoders using Python, TensorFlow, and Keras. Covers building methods, layers, and architecture for generating sound with neural networks.

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

Valerio Velardo - The Sound of AI

How to Implement Autoencoders in Python and Keras - The Encoder

Learn to implement autoencoders in Python and Keras, focusing on building the encoder component. Covers autoencoder class construction, convolutional layers, bottleneck creation, and practical implementation.

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

Valerio Velardo - The Sound of AI

Autoencoders Explained Easily

Intuitive explanation of autoencoders, covering key concepts like representation learning and latent space, with applications in data generation, denoising, and anomaly detection.

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

Pascal Poupart

Autoencoders

Explore autoencoders, from basic concepts to advanced applications, covering compression, PCA, deep architectures, sparse representations, and denoising techniques.

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

Alfredo Canziani

Unsupervised Learning - Autoencoding the Targets

Explore unsupervised learning and generative models, covering topics like latent space interpolation, style transfer, super resolution, and autoencoders. Gain insights into advanced machine learning concepts and techniques.

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

International Centre for Theoretical Sciences

Anomaly Detection with Autoencoder

Learn to detect anomalies using autoencoders in high energy physics data analysis. Explore advanced machine learning techniques for uncovering rare events and potential new physics.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Online Course

Prodramp

All Things VQGAN - AutoEncoder with Latent Space and Reconstruction Error - Part 1

Explore AutoEncoders, latent space, and reconstruction error in VQGAN. Learn key concepts and their applications in AI, with practical examples and in-depth explanations.

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

Amazon;  Amazon Web Services;  Facebook Microcredential

Deep Learning

14 reviews

Master foundational deep learning topics, from neural networks to GANs. Build projects in PyTorch and explore cutting-edge AI applications in image processing, natural language, and generative models.

• Udacity
• 3 months 19 hours 36 minutes
• On-Demand
• Paid Course

Deep Learning Methods for Healthcare

11 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

46595 ratings at Udemy

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

• Udemy
• 22 hours 48 minutes
• On-Demand
• Paid Course

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