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...

Neural Structured Learning: A new way for AI to learn.

Neural Structured Learning (NSL) is a new open source tool to train neural networks by using Neural Graph Learning, utilizing structured data...

How Artificial Intelligence Supports Human Intelligence in Business

In June, researchers at MIT and Brown University revealed their latest creation: Northstar. The system uses artificial intelligence (AI) and machine learning...

List of AI Conferences in 2019

ConferenceCountryDateDirect Link Biologically Inspired Cognitive Architectures (BICA) USA Aug 2019 Click here AI Summit by Xavier Health USA Aug...

Top Data Science Podcasts To Listen

SuperDataScience Learning Machines 101 IBM Analytics Insights Talking Machines

Introduction to Image Classification using Pytorch to Classify FashionMNIST Dataset

In this blog post, we will discuss how to build a Convolution Neural Network that can classify Fashion MNIST data using Pytorch on Google Colaboratory. The way we do that is, first we will download the data using Pytorch DataLoader class and then we will use LeNet-5 architecture to build our model. Finally, we will train our model on GPU and evaluate it on the test data.

List Of Free Reinforcement Learning Courses/Resources Online

Reinforcement Learning Offered at Georgia Tech as CS 8803Practical Reinforcement LearningReinforcement Learning ExplainedReinforcement Learning in FinanceIntroduction to reinforcement learningDeep Reinforcement Learning CS 294-112...

Top IoT Books To Read in 2019

The Second Machine Age: Work, Progress and Prosperity in a Time of Brilliant Technologies by Erik Brynjolfsson and Andrew McAfee In recent years, Google’s autonomous cars have logged thousands...

Exploratory Data Analysis Tutorial: Analyzing the Food Culture of Bangalore

In this blog post, we will discuss how to perform exploratory data analysis by creating awesome visualizations using matplotlib and seaborn by taking a real-world data set.

Deep Learning with Keras – Part 5: Convolutional Neural Networks

Motivation In the previous articles, we solved problems with numeric and categorical data, and we learned the different transformations...

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