### 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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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. […]

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 […]

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 […]

We are all familiar with GPS (Global Positioning System) and its myriad applications. From getting directions using Google maps to hailing a ride using a ride sharing […]

In this post, we’ll add the math and provide implementation for adding image based measurements. Let’s recap the notation and geometry first introduced in part […]

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