TensorFlow

NLP using Tensorflow: A Small Guide

Reading Time: 3 minutes Natural Language Processing or NLP is now one of the most important machine learning techniques that one AI/ML practitioner should possess. It the current world we can see a vast use of NLP implementations. Such as text reading, number plate reading,email spam filtering, predictive text and so on. In this blog we are going to see some key things to know, in order to implement Continue Reading

TensorFlow Graphics: A small introduction to the graphical world

Reading Time: 2 minutes In this blog we will see the use of TensorFlow graphics on three dimensional objects. So what is computer graphics? Computer Graphics is a sub-field of computer science which studies methods for digitally synthesising and manipulating visual content. Today Computer graphics is a core technology used in films, games, videos, phones, computer display etc. It has evolved overs the years, today you can make amazing Continue Reading

TensorFlow Recommenders (TFRS): An Overview

Reading Time: 4 minutes Hey Guys, Aren’t you surprised, when you watch any video on youtube or any movie on Netflix or look for any product on an E-Commerce website?You start receiving similar kinds of videos, movies, and products suggestion on respective platforms.So, how do platforms do that?.Well, they use recommender systems, an important application of machine learning, surfacing new discoveries and helping users find what they love.In this Continue Reading

Let us know about TensorFlow Extended (TFX) components and Libraries?

Reading Time: 3 minutes In this blog, we will be learning about Tensorflow Extended (TFX) components and libraries. TFX is a Google-production-scale machine learning (ML) platform based on TensorFlow. It provides a configuration framework and shared libraries. Moreover, to integrate common components needed to define, launch, and monitor your machine learning system. How Tensorflow Extended (TFX) came up? Since the time Google has publicized Tensorflow, its application in Deep Continue Reading

TensorFlow with Keras part 2 using Case Study

Reading Time: 2 minutes This blog is in continuation to Part1, Tensorflow for deep learning. Make sure you go through it for a better understanding of this case study. Keras is a high-level neural networks API, written in Python and capable of running on top of Tensorflow, CNTK  or Theano. It was developed with a focus on enabling fast experimentation. In this blog, we are going to cover one Continue Reading

Getting started with TensorFlow: A Brief Introduction

Reading Time: 3 minutes TensorFlow is an open source software library, provided by Google, mainly for deep learning, machine learning and numerical computation using data flow graphs. Looking at their website, the first definition they have written for TensorFlow goes something like this – TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges Continue Reading