- Feature Preview Deployments for the Front-end
- Knowing What You're Shipping
- Getting pytest results into Neovim's quickfix list
- Binary Search Trees
- Disjoint Sets
- ML Basics #4: Replace Negatives with Zeros!
- ML Basics #3: More Layers!
- ML Basics #2: Multilayer Perceptron
- ML Basics #1: Start With A Neuron
- Takeaways from Naval Ravikant's JRE episode
- Understanding the A star algorithm
- Summary Notes: Bayes' Theorem
- Visualizing inputs that maximally activate feature maps of a convnet
- Generating artistic images using Neural Style Transfer
- Understanding Object Detection Part 4: More Anchors!
- Understanding Object Detection Part 3: Single Shot Detector
- Understanding Object Detection Part 1: The Basics
- Understanding Object Detection Part 2: Single Object Detection
- Evolution of Grad-CAM heat-maps along a ResNet-34
- Generating class discriminative heat-maps using Grad-CAM
- Understanding ResNets
- Summary Notes: GRU and LSTMs
- Word Embeddings and RNNs
- Summary Notes: Basic Recurrent Neural Networks
- Visualizing Convolutions
- Visualizing Optimisation Algorithms
- Summary Notes: Forward and Back Propagation
- Writing a decision tree from scratch
- Booking Wonder Woman tickets with a twist