References: Autoencoders

[DiogenesAnalytics]

References

• Introduction To Autoencoders In Machine Learning
• Convolutional autoencoder for image denoising
• Building Autoencoders in Keras
• Autoencoder Wikipedia
• Autoencoders for Image Reconstruction in Python and Keras
• Labeled Faces in the Wild
• Convolutional autoencoder for image denoising
• TensorFlow - Intro to Autoencoders
• TensorFlow - Learned Data Compression
• TensorFlow - Convolutional Variational Autoencoders
• Autoencoder for color images in Keras
• Tutorial 9: Deep Autoencoders
• FFT Example: Unraveling the Recursion
• How PNG Works: Compromising Speed for Quality
• JPEG DCT, Discrete Cosine Transform (JPEG Pt2)- Computerphile
• The Unreasonable Effectiveness of JPEG: A Signal Processing Approach
• The more general uncertainty principle, regarding Fourier transforms
• Why π is in the normal distribution (beyond integral tricks)
• But what is the Central Limit Theorem?
• What is a Discrete Fourier Transform? | Week 14 | MIT 18.S191 Fall 2020 | Grant Sanderson
• Convolutions in image processing | Week 1 | MIT 18.S191 Fall 2020 | Grant Sanderson
• But what is a convolution?
• A study of deep convolutional auto-encoders for anomaly detection in videos
• Autoencoders as Kolmogorov complexity based distance function in zero-shot learning : wherein pictures of seahorses improve bird classification
• tf.keras.datasets.mnist.load_data
• Channels first vs Channels last - what do these mean?
• Convolutional Layers User's Guide
• Keras Datasets
• JJ - Introduction to autoencoders
• Kaglle: Dog Autoencoder
• Stacked Convolutional Autoencoder for Detecting Animal Images in Cluttered Scenes with a Novel Feature Extraction Framework
• Bilinear Interpolation
• The encoder-decoder model as a dimensionality reduction technique
• Autoencoders in Deep Learning: Tutorial & Use Cases [2023]
• Hex - Introduction to dimensionality reduction
• Max Pooling in Convolutional Neural Network and Its Features
• The Sequential model
• Callbacks API - Keras
• Techniques for training large neural networks - Open AI Blog
• Error Threshold - StackExchange
• Intro to Autoencoders

[DiogenesAnalytics]

Research Papers

Small collection of autoencoder literature of interest.

PDFs

• A Review of the Autoencoder and Its Variants: A Comparative Perspective from Target Recognition in Synthetic-Aperture Radar Images.pdf
• Auto-Encoders in Deep Learning—A Review with New Perspectives.pdf
• Autoencoders.pdf
• Review of AutoEncoder and Its Variants- A Comparative Perspective from Target Recognition in SAR Images.pdf