What is Tensorflow? And How it will help in Deep learning?

What is Tensorflow?

Tensors:- Tensors is a generalization of vectors and matrices of potentially higher dimensions. An array of data with different dimensions and ranks that are fed as input to the neural network are called Tensors.

Some Application Of TensorFlow Which are as follows:




Lead Data Scientist at Tata Power Ltd.

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

Recommended from Medium

Reimplementation of Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

How to Use Cross-Validation for Matrix Completion

Deploy Machine learning(ML) model in Docker container.

Understanding DBSCAN and K-NN with Random Geometric Graphs

“Hello world” in Pennylane and Tensorflow-Quantum compared

U-Nets with ResNet Encoders and cross connections

How to Build a Deep Neural Network from Scratch with Julia.

Image Caption Generation with Visual Attention

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
Vikas Maurya

Vikas Maurya

Lead Data Scientist at Tata Power Ltd.

More from Medium

Nurturing a machine learning model

My Journey Of Getting Started With The “Fast.ai” Course

Preventing robberies in urban environments using deep learning and OpenCV

Sarcastic Comments — REDDIT