Tensorflow Tutorial : Part 2 – Getting Started

Tensorflow Tutorial : Part 2 – Getting Started

  • 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”

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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”

Conclusions of the DigiWorld Future 2016 debates « IDATE DigiWorld Blog

Digital Transition by a Combination of #IoT #BigData & #AI

#WearableTech #GAFA #fintech

  • Under the banner of “DigiWorld Future,” these events attracted more than 800 industry professionals this year, and allowed both our own teams and a host of industry luminaries to discuss market trends and our predictions for the internet, telecom and TV markets in 2025.
  • IDATE DigiWorld has just published the latest edition of its DigiWorld Yearbook.
  • We welcome any comments and suggestions you might have for the 2017 and all future editions of our DigiWorld Yearbook!
  • We believe that an extraordinary potential surrounds the game changers born of the combination of the Internet of Things (IoT), big data and artificial intelligence – and no doubt 3D printing as well.
  • Recognising market trends is also a way for us to identify the core variables of future market scenarios, not to predict this or that players’ strategy, but rather to build a solid foundation for a structured exploration of the different (and deliberately opposite) possible futures.

Read the full article, click here.


@andi_staub: “Digital Transition by a Combination of #IoT #BigData & #AI

#WearableTech #GAFA #fintech”


IDATE DigiWorld has just published the latest edition of its DigiWorld Yearbook. Three public events are held every year, in Brussels, London and Paris, to coincide with its release. Under the banner of “DigiWorld Future,” these events attracted more than 800 industry professionals this year, and allowed both our own teams and a host of industry luminaries to discuss market trends and our predictions for the internet, telecom and TV markets in 2025.


Conclusions of the DigiWorld Future 2016 debates « IDATE DigiWorld Blog