Posts

computer-science
data-science
deep-learning
learnings
machine-learning
personal
random-hacking
32

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