The Main Aspects Of TensorFlow (Machine Learning)

TensorFlow is a machine learning framework that's completely changing the industry. If you are a developer and you are interested in learning more about...

Top 20 Artificial Intelligence Articles in 2018

1-Google Duplex: An AI System for Accomplishing Real-World Tasks Over the Phone

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.

Top Artificial Intelligence Books to Read in 2019

1. Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory...

How Generative Adversarial Networks (GANs) work?

Generative Adversarial Networks were first introduced in 2014 in a research paper. They have also been called  “the most interesting idea in...

Programming languages for Machine learning : Julia

From C++ to C-- we have more than 250 programming languages but which one is best suited for machine learning? There’s plenty of articles...

List of Data Science and Machine Learning GitHub Repositories to Try in 2019

Here is the list of selected Data Science and Machine Learning GitHub Repositories to Try in 2019 Paper with...

List Of Free Deep Learning Courses Online

Neural Networks Class at Université de Sherbrooke Creative Applications of Deep Learning with TensorFlow Deep Learning: Use TensorFlow to take Machine Learning to...

11 Machine Learning Data Sets/ Projects for Beginners

We have listed below some of the best datasets/ projects for machine learning beginners. 1. Breast Cancer Wisconsin (Diagnostic) Data Set Download Link: Click here  2. Social Media Sentiment...

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.
error: Content is protected !!