Introduction to Multilayer Neural Networks with TensorFlow’s Keras APILorraine LiBlockedUnblockFollowFollowingJun 11Learn how to build and train a multilayer perceptron using TensorFlow’s…

Continue Reading# input

## An Overview of Deep Learning Based Clustering Techniques

An Overview of Deep Learning Based Clustering TechniquesDivam GuptaBlockedUnblockFollowFollowingMar 7This post gives an overview of various deep learning based clustering…

Continue Reading## Implementing a Simple Auto-Encoder in Tensorflow

Peele using DeepFake to forge a video of Obama — Source: BuzzFeed, YouTubeImplementing a Simple Auto-Encoder in TensorflowEdoardo BarpBlockedUnblockFollowFollowingJun 7Generative Adversarial Networks…

Continue Reading## Parallelising your Python Code

So your friend suggests that you and they take turns digging…Let's say it takes you 100 minutes to finish this…

Continue Reading## Neural Machine Translation

Neural Machine TranslationA guide to Neural Machine Translation using an Encoder Decoder structure with attention. Includes a detailed tutorial using…

Continue Reading## Composable Reactive UI — Preview

Well, he only concerns events, so we need something more powerful:h is like a Swiss knife: it’s able to configure…

Continue Reading## An Introduction to Convolutional Neural Networks

A typical hidden layer in such a network might have 1024 nodes, so we’d have to train 150,528 x 1024…

Continue Reading## Math of Neural Networks — from scratch in Python

Math of Neural Networks — from scratch in PythonOmar AflakBlockedUnblockFollowFollowingNov 14, 2018Make your own machine learning library. Photo by Mathew Schwartz on UnsplashIn this post…

Continue Reading## Create a Fullstack app with Django, GraphQL and VueJS

On to Graphene!CREATING THE GRAPHENE (GRAPHQL) FRAMEWORKBefore we dive in the Graphene framework, I want to do a quick introduction…

Continue Reading## Probabilistic Reasoning for Sequential Data

Probabilistic Reasoning for Sequential DataIn the world of machine learning, we encounter many types of data, such as images, text,…

Continue Reading## Machine Learning: Building Recommender Systems

K Nearest Neighbors:") for rank, index in enumerate(indices[0][:k], start=1): print(str(rank) + " ==>", X[index])Visualize the nearest neighbours:# Visualize the nearest…

Continue Reading## A Purely Functional Random Access List in Scala

A Purely Functional Random Access List in ScalaBaseer Al-ObaidyBlockedUnblockFollowFollowingMay 2In this article, we present a Scala implementation of a purely functional…

Continue Reading## Using R Shiny to create web surveys, display instant feedback, and store data on Google Drive

How does your score compare to others?", xlab = "Scores", yaxt='n', ylab = "") abline(v=((input$neur1 + (8 – input$neur2))/2), col="blue")…

Continue Reading## A Guide to Understanding Convolutional Neural Networks (CNNs) using Visualization

That’s right – only those parts of the input image that had a significant contribution to its output class probability…

Continue Reading## Ensemble Learning In Artificial Intelligence

Datapoint:', datapoint) print('Predicted class:', predicted_class)Visualize the test data points based on classifier boundaries:# Visualize the datapoints visualize_classifier(classifier, test_datapoints, [0]*len(test_datapoints), 'Test…

Continue Reading## LinkedOut

and How?The task at hand is to build a “bot” of sorts that possesses the ability to share a given post…

Continue Reading## A Gentle Introduction to Padding and Stride for Convolutional Neural Networks

The convolutional layer in convolutional neural networks systematically applies filters to an input and creates output feature maps. Although the…

Continue Reading## Master the basics of machine learning by solving a hackathon problem

Master the basics of machine learning by solving a hackathon problemLearn how to solve regression problem step by step and…

Continue Reading## A Gentle Introduction to Convolutional Layers for Deep Learning Neural Networks

Convolution and the convolutional layer are the major building blocks used in convolutional neural networks. A convolution is the simple…

Continue Reading## ToneNet : A Musical Style Transfer

ToneNet : A Musical Style TransferSuraj JayakumarBlockedUnblockFollowFollowingNov 27, 2017By: Team Vesta, University of Southern California. CSCI:599 Deep Learning and Its ApplicationsSuraj Jayakumar…

Continue Reading## How to Design Powerful Scripts in Genetics

How to Design Powerful Scripts in GeneticsUser input and Command Line Arguments made Simple- with PythonStephen FordhamBlockedUnblockFollowFollowingApr 11The design of a script…

Continue Reading## Symbolic vs Connectionist A.I.

Symbolic vs Connectionist A. I. Josef BajadaBlockedUnblockFollowFollowingApr 8As Connectionist techniques such as Neural Networks are enjoying a wave of popularity,…

Continue Reading## What’s Big O notation, faster runtime — Simply explained

As n grows the number of operations grows in correlation with n. Introduce Big OBig o is just a way to…

Continue Reading## Using PyTorch to Generate Images of Malaria-Infected Cells

For the VAE itself, we instantiate the layers in the __init__ section and define the layer interactions in the ‘forward’…

Continue Reading## Introduction to Convolutional Neural Networks (CNN) with TensorFlow

Introduction to Convolutional Neural Networks (CNN) with TensorFlowLearn the foundations of convolutional neural networks for computer vision and build a…

Continue Reading