Category: Deep Learning

Facebook opensources DensePose

We just open-sourced DensePose, a real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body. GitHub: https://github.com/facebookresearch/DensePose … Docs: http://densepose.org DensePose: Dense Human Pose Estimation In The Wild Rıza Alp Güler, Natalia

Tensorflow Tutorial : Part 3 -Building your first model

In this multi-part series, we will explore how to get started with tensorflow. This tensorflow tutorial will lay a solid foundation to this popular tool that everyone seems to be talking about. The third part is a tensorflow tutorial on

Tensorflow Tutorial : Part 2 – Getting Started

Posted by Vivek Kalyanarangan  In this multi-part series, we will explore how to get started with tensorflow. This tensorflow tutorial will lay a solid foundation to this popular tool that everyone seems to be talking about. The second part is a

Tensorflow Tutorial : Part 1 – Introduction

Posted by Vivek Kalyanarangan In this multi-part series, we will explore how to get started with tensorflow. This tensorflow tutorial will lay a solid foundation to this popular tool that everyone seems to be talking about. The first part will focus

Building a simple Keras + deep learning REST API By Adrian Rosebrock

In Tutorials. 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 finished authoring Deep Learning for Computer Vision with Python, a new book on deep learning for computer

An Introduction to Deep Learning for Tabular Data

Written: 29 Apr 2018 by Rachel Thomas There is a powerful technique that is winning Kaggle competitions and is widely used at Google (according to Jeff Dean), Pinterest, and Instacart, yet that many people don’t even realize is possible: the

Deep Learning Achievements Over the Past Year

Great developments in text, voice, and computer vision technologies At Statsbot, we’re constantly reviewing the deep learning achievements to improve our models and product. Around Christmas time, our team decided to take stock of the recent achievements in deep learning

Top 20 Recent Research Papers on Machine Learning and Deep Learning

Machine learning and Deep Learning research advances are transforming our technology. Here are the 20 most important (most-cited) scientific papers that have been published since 2014, starting with “Dropout: a simple way to prevent neural networks from overfitting”. By Thuy

Convolutional Neural Networks from the ground up

A NumPy implementation of the famed Convolutional Neural Network: one of the most influential neural network architectures to date. When Yann LeCun published his work on the development of a new kind of neural network architecture [1], the Convolutional Neural Network

Deep Learning for Chatbots, Part 2 – Denny Britz

Implementing a Retrieval-Based Model in Tensorflow The Code and data for this tutorial is on Github. Retrieval-Based bots In this post we’ll implement a retrieval-based bot. Retrieval-based models have a repository of pre-defined responses they can use, which is unlike generative models

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