Here I will collect links to well-written articles about math and algorithms.
Visual Information Theory. Nice post about probabilities, entropy. The whole blog has awesome visualizations. Highly recommended.
MNIST For ML Beginners - Nice introduction into machine learning with TensorFlow
Brilliantly wrong - blog by Alex Rogozhnikov, with fantastic visualizations of many algorithms and concepts
Collection of data science notebooks.
Deconvolution and Checkerboard Artifacts by Odena, et al., 2016 - explanation of deconvolution operation in neural networks with awesome interactive visualizations
Up-sampling with Transposed Convolution one more article about deconvolutions with good examples
More about deconvolutions in Tensorflow on stack overflow
A guide to convolution arithmetic for deeplearning, Vincent Dumoulin, Francesco Visin, 2018
https://ncase.me/ - Interactive math experiments
Transformer model
Jay Alammar. Visualizing machine learning one concept at a time - nice visualization and explanamtion of some ML concepts and architectures. For example: The Illustrated Transformer
The Annotated Transformer - description with code (notebook)
Object detection
mAP (mean Average Precision) for Object Detection
Object Detection. Распознавай и властвуй. Часть 2
About quaternions
https://eater.net/quaternions/
See also: