Kalpana Kadian

23 Flips | 2 Magazines | 6 Likes | @kalpn | Keep up with Kalpana Kadian on Flipboard, a place to see the stories, photos, and updates that matter to you. Flipboard creates a personalized magazine full of everything, from world news to life’s great moments. Download Flipboard for free and search for “Kalpana Kadian”

How to Become a Millionaire by Your 30s, According to Millennials Who Have Done It

'Cancel Netflix. Stay off Instagram.'<p>By any definition, becoming a millionaire by your 30s isn’t easy, unless you happen to come from a lot of money. …

How to build a deep learning model in 15 minutes – tech-at

<i>An open source framework for configuring, building, deploying and maintaining deep learning models in Python.</i><p>As Instacart has grown, we’ve learned a …

React + Django REST framework = love

I know, it's been a long time since you heard from me.<p>I'm a bit busy working with <b>React and Django</b>. Yes, Django.<p>"Valentino, you were supposed to talk …

JavaScript

Introduction to Multiprocessing in Python

The multiprocessing package supports spawning processes using an API similar to the threading module. It also offers both local and remote …

How to Build Your Own Text Classification Model Without Any Training Data

One of machine learning’s most successful paradigms is supervised learning, which lets you build a generalization model by learning from a lot of …

A scalable Keras + deep learning REST API

In today’s blog post we are going to create a deep learning REST API that wraps a Keras model in an efficient, scalable manner.Our Keras + deep …

Building a simple Keras + deep learning REST API

<i>This is a guest post by Adrian Rosebrock. Adrian is the author of PyImageSearch.com, a blog about computer vision and deep learning. Adrian recently</i> …

Only Numpy: Implementing GAN (General Adversarial Networks) and Adam Optimizer using Numpy with…

Only Numpy: Implementing GAN (General Adversarial Networks) and Adam Optimizer using Numpy with Interactive Code. (Run GAN Online)<p>So today I was …

Deep Learning

Deep Generative Models

A Generative Model is a powerful way of learning any kind of data distribution using unsupervised learning and it has achieved tremendous success in …

Deep learning in production with Keras, Redis, Flask, and Apache

Shipping deep learning models to production is a non-trivial task.If you don’t believe me, take a second and look at the “tech giants” such as …

Tensorflow Project Template

README.md<p>A simple and well designed structure is essential for any Deep Learning project, so after a lot of practice and contributing in tensorflow …

APIs

Pruning Neural Networks: Two Recent Papers

I wanted to briefly highlight two recent papers on pruning neural networks (disclaimer, one of them is ours):• Christos Louizos, Max Welling, Diederik …

Deep Time-to-Failure: Predictive maintenance using RNNs and Weibull distributions

I published on GitHub a tutorial on how to implement an algorithm for predictive maintenance using survival analysis theory and gated Recurrent …

Only Numpy: Implementing Simple ResNet ( Deep Networks with Stochastic Depth) for MNIST…

Only Numpy: Implementing Simple ResNet ( Deep Networks with Stochastic Depth) for MNIST Classification with Interactive Code<p>So I was reading this …

Deep Learning

Surprise! Neurons are Now More Complex than We Thought!!

One of the biggest misconceptions around is the idea that Deep Learning (DL) or Artificial Neural Networks (ANN) mimics biological neurons. At best, …

Your Data Science News Source for AI & Beyond

Accelerate AI View all<p>Alex Detmering of Basis Technology on The Honest Guide to AI for Risk<p>Financial institutions, historically, have had enough to …

Machine Learning

Run an Instance Segmentation Model

For some applications it isn't adequate enough to localize an object with a simple bounding box. For instance, you might want to segment an object …

Deep Learning

Announcing Tensor Comprehensions

Today, Facebook AI Research (FAIR) is announcing the release of Tensor Comprehensions, a C++ library and mathematical language that helps bridge the …

Automatic feature engineering using Generative Adversarial Networks

Application to computer vision and synthetic financial transactions data<p>The purpose of deep learning is to learn a representation of high dimensional …

Deep Learning

Introduction to Recommender System. Part 2 (Neural Network Approach)

<b>2. Spotlight</b><p>Spotlight is a well-implemented python framework for constructing a recommender system. It contains two major types of models, …

Deep Learning

Twitter Sentiment Analysis using combined LSTM-CNN Models – B-sides

A year ago I had written a paper for a Neural Networks class that I hadn't gotten around to publish. I decided to take a small break from most of my …

Deep Learning

Getting Text into Tensorflow with the Dataset API

Deep learning has made NLP easier by providing us with algorithms that can operate on arbitrary sequences. While the algorithms are crystal clear and …

Text to Speech Deep Learning Architectures - A Blog From Human-engineer-being

Small Intro. and Background<p>Recently, I started at Mozilla Research. I am really excited to be a part of a small but a great team working hard to …