Top Artificial Intelligence Books to Read in 2020

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...

Implementing Batching for Seq2Seq Models in Pytorch

In this tutorial, we will discuss how to implement the batching in sequence2sequene models using Pytorch. We will implement batching by...

Classifying the Name Nationality of a Person using LSTM and Pytorch

Recurrent Neural Networks(RNN) are a type of Neural Network where the output from the previous step is fed as input to the current step. In the case of Convolution Neural Networks (CNN), the output from the softmax layer in the context of image classification is entirely independent of the previous input image.

HoloGAN (A new generative model) learns 3D representation from natural images

A group of researchers proposed a new generative adversarial network (GAN) using natural images to perform unsupervised learning for 3D representations.

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...

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...

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...

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.

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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