Classify Handwritten-Digits With Tensorflow

One of the capabilities of deep learning is image recognition, The “hello world” of object recognition for machine learning and deep learning...

AttoNets, A New AI That is Faster & Efficient For Edge Computing

An AI team at the University of Waterloo, Canada, developed a new type of compact family of deep neural networks (AttoNets), which...

How This Data Startup Aims to Bring Access to Petabytes of Public Data &...

After four years of hard work by Kevin Moore and Aneesh Karve (Founders), Quilt Data comes live from stealth mode. This platform can be...

AI: From Fantasy To Reality

We’re always waiting for the next opportunity to feel like a kid again, and artificial intelligence has given us the best excuse...

Deep Learning with Keras – Part 7: Recurrent Neural Networks

Intro In this part of the series, we will introduce Recurrent Neural Networks aka RNNs that made a major...

‘Backronym’ May Help To Generate Ideas in Machine Learning by Visualizing Hundreds of Research...

Every year hundreds of papers are published on Machine learning/Deep Learning in various journals and conferences. Most of them are based on...

AI and Data Science Tools on Amazon Web Services

As the leading cloud provider, Amazon Web Services offers numerous tools for a variety of applications. The sheer number of offerings can...

Alibaba’s Hanguang 800 can process nearly 80,000 images per second.

Alibaba Group launches a machine learning chip that will perform machine learning and deep learning tasks faster and energy-efficient. It is developed...

Pyforest– Importing Python Data Science Libraries in One Line of Code

To import libraries in python, different lines of codes are required. import pandas as pd import matplotlib.pyplot as plt import...

This Pytorch Library ‘SpeedTorch’ Might Speedup Your Pytorch Deep Learning Projects

While browsing on reddit, I found out about 'SpeedTorch'. SpeedTorch is a library developed for Pytorch, for fast transfer rates between pinned...