Posts
computer-science
data-science
deep-learning
learnings
machine-learning
personal
programming
random-hacking
33
Getting pytest results into Neovim's quickfix list
October 30th, 2021
Binary Search Trees
June 10th, 2020
Disjoint Sets
June 10th, 2020
A fresh start
March 31st, 2020
ML Basics #4: Replace Negatives with Zeros!
September 4th, 2019
ML Basics #3: More Layers!
August 26th, 2019
ML Basics #2: Multilayer Perceptron
August 25th, 2019
The Autodidact's Register: Issue #1
August 19th, 2019
ML Basics #1: Start With A Neuron
August 15th, 2019
Takeaways from Naval Ravikant's JRE episode
June 15th, 2019
Using Service Accounts for GKE workloads
March 21st, 2019
Book Summary: Atomic Habits
March 14th, 2019
Understanding the A star algorithm
February 27th, 2019
Summary Notes: Bayes' Theorem
February 14th, 2019
Visualizing inputs that maximally activate feature maps of a convnet
February 1st, 2019
Generating artistic images using Neural Style Transfer
January 15th, 2019
Understanding Object Detection Part 4: More Anchors!
January 5th, 2019
Understanding Object Detection Part 3: Single Shot Detector
January 3rd, 2019
Blogging Philosophy
December 31st, 2018
Understanding Object Detection Part 2: Single Object Detection
December 27th, 2018
Understanding Object Detection Part 1: The Basics
December 27th, 2018
Evolution of Grad-CAM heat-maps along a ResNet-34
December 3rd, 2018
Generating class discriminative heat-maps using Grad-CAM
December 2nd, 2018
Understanding ResNets
November 7th, 2018
Summary Notes: GRU and LSTMs
October 20th, 2018
Word Embeddings and RNNs
October 20th, 2018
Summary Notes: Basic Recurrent Neural Networks
October 9th, 2018
Visualizing Convolutions
September 24th, 2018
Visualizing Optimisation Algorithms
September 24th, 2018
Summary Notes: Forward and Back Propagation
September 15th, 2018
Moving from Jekyll to Nikola
September 15th, 2018
Writing a decision tree from scratch
September 2nd, 2018
Booking Wonder Woman tickets with a twist
May 22nd, 2018