Hello all! In this blog post I will implement an artificial neural network using keras package to do churn prediction. In the previous blog post I talked about neural network representation and learning. I suggest you to read them before reading this blog post(click here to read). The code is written in jupyter notebook, to […]
Convolutional neural network ( CNN ) is a type of neural network architecture specially made to deal with visual data. It is very much similar to ordinary ANNs , i.e they are made up of artificial neurons and have learnable parameters. In this article we will discuss the architecture of CNN and implement it on […]
When it comes to the Data Science stream then Data Visualization is equally important with Data Analysis. Sometimes, we understand the data even better by looking it through plots and figures. And this way we can analyze it more effectively once we connect with it via the visual representation. This is not something which I’m […]
Data analysis is one of the most empowered part of Data Science, and when it comes to data analysis then Python’s Pandas Library just couldn’t be skipped.
In this article we will build a neural network in tensorflow to classify hand written digits. Tensorflow is an open source library by google, developed by google brain team and Neural network is the core algorithm behind deep learning .
In the last blog post we saw what a neural network is ,it’s representation and the maths behind it(To check that blog post,click here). We didn’t talk about how this neural network actually learns. We have a design for a neural network, but how can it learn to do something? The first thing we will […]
Representation of neural networks and maths behind it for beginners.