Understanding RNN and LSTM

What is Neural Network?

Neural Networks are set of algorithms which closely resemble the human brain and are designed to recognize patterns. They interpret sensory data through a machine perception, labelling or clustering raw input. They can recognize numerical patterns, contained in vectors, into which all real-world data ( images, sound, text or time series), must be translated. Artificial neural networks are composed of a large number of highly interconnected processing elements (neuron) working together to solve a problem.

--

--

--

Machine Learning Enthusiast | Software Developer

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Accelerating medical discovery using Deep Learning

Computing Word Frequency in Shakespeare for NLP

Predicting Car Price using Machine Learning

What is a Decision Tree in ML?

AN APERCU ON IMAGE SEGMENTATION ARCHITECTURES

Machine Learning for grandpa's

Exploring Machine Learning Basics

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Aditi Mittal

Aditi Mittal

Machine Learning Enthusiast | Software Developer

More from Medium

Understanding Gramian Angular Field to convert your time-series data into an image

Disease prediction using Machin learning

Supervised and Unsupervised Machine Learning Algorithms

Introducing a new data analysis online platform