Europe Trip (7/9/2018 – 7/23/2018)
This is my first travel blog on my own website. My previous travel blogs are all on Facebook which I will gradually port to this […]
Articles by ankur6ue
Understanding Roofline Charts
The purpose of this post is to discuss my current understanding of roofline charts. Let me lay some background first. Before I got into machine […]
Data Augmentation in SSD (Single Shot Detector)
Over the past few days, I have been investigating how SSD (Single Shot Detector), an object detector introduced in the following paper in Dec 2016 […]
Efficiently Computing the Fisher Vector Product in TRPO
The purpose of this post is to provide math proofs and clarify some implementation details in the recently introduced reinforcement learning method called “Trust Region […]
Initializing Weights for the Convolutional and Fully Connected Layers
You may have noticed that weights for convolutional and fully connected layers in a deep neural network (DNN) are initialized in a specific way. For […]
Object Detection and Classification using R-CNNs
In this post, I’ll describe in detail how R-CNN (Regions with CNN features), a recently introduced deep learning based object detection and classification method works. R-CNN’s […]
Word2Vec Experiments
In this post, I’ll describe some experiments on word2vec, a technique invented by researchers at Google that aims to find compact vector representations for words […]
Understanding Data Parallelism in Machine Learning
In this post, I’ll show how to modify the spiral data set example presented in Karpathy’s post (http://cs231n.github.io/neural-networks-case-study/) to run in a data parallel mode. […]
Building a 2 Layer Network to Classify a Spiral Dataset using Matlab and CNTK
The purpose of this post is to provide some additional insights and Matlab and CNTK implementations for the two layer network used to classify a […]
Calculating the Derivative of the Error with respect to Convolution Filter Weights in a CNN
Over the last month, I have been exploring the world of deep learning. Deep learning based algorithms have been around for a long time, but […]