An Introduction to Implementing Neural Networks using TensorFlow

An Introduction to Implementing Neural Networks using TensorFlow

  • This article on an introduction to implementing neural networks using TensorFlow, was posted by Faizan Shaikh.
  • If you have been following Data Science / Machine Learning, you just can’t miss the buzz around Deep Learning and Neural Networks.
  • Organizations are looking for people with Deep Learning skills wherever they can.
  • Starting with this article, I will write a series of articles on deep learning covering the popular Deep Learning libraries and their hands-on implementation.
  • After reading this article you will be able to understand application of neural networks and use TensorFlow to solve a real life problem.

This article on an introduction to implementing neural networks using TensorFlow, was posted by Faizan Shaikh. Faizan is a Data Science enthusiast and a Deep l…
Continue reading “An Introduction to Implementing Neural Networks using TensorFlow”

An Introduction to Implementing Neural Networks using TensorFlow

An Introduction to Implementing Neural Networks using TensorFlow

  • This article on an introduction to implementing neural networks using TensorFlow, was posted by Faizan Shaikh.
  • If you have been following Data Science / Machine Learning, you just can’t miss the buzz around Deep Learning and Neural Networks.
  • Organizations are looking for people with Deep Learning skills wherever they can.
  • Starting with this article, I will write a series of articles on deep learning covering the popular Deep Learning libraries and their hands-on implementation.
  • After reading this article you will be able to understand application of neural networks and use TensorFlow to solve a real life problem.

This article on an introduction to implementing neural networks using TensorFlow, was posted by Faizan Shaikh. Faizan is a Data Science enthusiast and a Deep l…
Continue reading “An Introduction to Implementing Neural Networks using TensorFlow”

Tensorflow Tutorial : Part 2 – Getting Started

Tensorflow Tutorial : Part 2 – Getting Started #abdsc

  • This post is the second part of the multi-part series on a complete tensorflow tutorial – – – If you have tensorflow already installed, you can just skip to the next section.
  • Below we have the different data types in supported by Tensorflow.
  • Note: Quantitized values [qint8, qint16 and quint8] are special values for tensorflow that help reduce the size of the data.
  • In fact, Google has gone to the extent of introducing Tensorflow Processing Units (TPUs) to speed up computation by leveraging quantitized values – – We will quickly generate some data to get started.
  • In the next part, we will finally be ready to train our first tensorflow model on house prices.

In this multi-part series, we will explore how to get started with tensorflow. This tensorflow tutorial will lay a solid foundation to this popular tool that…
Continue reading “Tensorflow Tutorial : Part 2 – Getting Started”

An Introduction to Implementing Neural Networks using TensorFlow

An Introduction to Implementing Neural Networks using TensorFlow

  • This article on an introduction to implementing neural networks using TensorFlow, was posted by Faizan Shaikh.
  • If you have been following Data Science / Machine Learning, you just can’t miss the buzz around Deep Learning and Neural Networks.
  • Organizations are looking for people with Deep Learning skills wherever they can.
  • Starting with this article, I will write a series of articles on deep learning covering the popular Deep Learning libraries and their hands-on implementation.
  • After reading this article you will be able to understand application of neural networks and use TensorFlow to solve a real life problem.

This article on an introduction to implementing neural networks using TensorFlow, was posted by Faizan Shaikh. Faizan is a Data Science enthusiast and a Deep l…
Continue reading “An Introduction to Implementing Neural Networks using TensorFlow”

Deep Learning Cheat Sheet (using Python Libraries)

#DeepLearning Cheat Sheet (using Python Libraries) #abdsc

  • This cheat sheet was produced by DataCamp, and it is based on the Keras library.
  • Keras is an easy-to-use and powerful library for Theano and TensorFlow that provides a high-level neural networks API to develop and evaluate deep learning models.
  • For other cheat sheets covering all data science topics, click here.

This cheat sheet was produced by DataCamp, and it is based on the Keras library..Keras is an easy-to-use and powerful library for Theano and TensorFlow that pr…
Continue reading “Deep Learning Cheat Sheet (using Python Libraries)”

Google’s plan to best Amazon rests on one particular piece of software

#Google's plan to best #Amazon rests on one piece of software  #aws #cloud #AI

  • Two years later the tool, which is used in building machine-­learning software, underpins many future ambitions of Google and its parent company, Alphabet.
  • But just months after TensorFlow was released to Google’s army of coders, the company also began offering it to the world for free, as an open source tactic.
  • S. Somasegar, a managing director at venture fund Madrona who was previously head of Microsoft’s developer division, says TensorFlow’s prominence poses a genuine challenge to Google’s cloud rivals.
  • The company has created specialized processors to make TensorFlow faster and reduce the power it consumes inside Google’s data centers.
  • Since Google released TensorFlow, its competitors in cloud computing, Microsoft and Amazon, have released, or started supporting, their own free software tools to help coders build machine-learning systems.

Google has pinned its cloud computing hopes on a bit of software that helps programmers build artificial intelligence apps called TensorFlow.
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