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 blog.skz.dev
3D Reconstruction From Public Photos with Machine Learning ยท Sasha Kuznetsov's Blog
| | blog.ml.cmu.edu
How to Regularize Your Regression - Machine Learning Blog | ML@CMU | Carnegie Mellon University
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| | The latest news and publications regarding machine learning, artificial intelligence or related, brought to you by the Machine Learning Blog, a spinoff of the Machine Learning Department at Carnegie Mellon University.
| | robotacademy.net.au
Summary of Image Geometry | Robot Academy
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| | [AI summary] This educational lesson reviews advanced computer vision concepts including homogeneous coordinates, camera intrinsic and extrinsic parameters, and homography matrices for perspective correction and mapping.
| | ksimek.github.io
Dissecting the Camera Matrix, Part 2: The Extrinsic Matrix
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| | [AI summary] A technical tutorial explains the extrinsic matrix in computer vision, detailing how to derive camera pose and view transformations using rigid body kinematics.
| | blog.keras.io
Building Autoencoders in Keras
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| [AI summary] The text discusses various types of autoencoders and their applications. It starts with basic autoencoders, then moves to sparse autoencoders, deep autoencoders, and sequence-to-sequence autoencoders. The text also covers variational autoencoders (VAEs), explaining their structure and training process. It includes code examples for each type of autoencoder and mentions the use of tools like TensorBoard for visualization. The VAE section highlights how to generate new data samples and visualize the latent space. The text concludes with references and a note about the potential for further topics.