News Thursday, July 26

A simple neural network with Python and Keras

  • Keras is a super powerful, easy to use Python library for building neural networks and deep learning networks.
  • In the remainder of this blog post, Ill demonstrate how to build a simple neural network using Python and Keras, and then apply it to the task of image classification.
  • To start this post, well quickly review the most common neural network architecture feedforward networks.
  • Well then write some Python code to define our feedforward neural network and specifically apply it to theKaggle Dogs vs. Catsclassification challenge.
  • While there are many,manydifferent neural network architectures, the most common architecture is thefeedforward network: – – In this type of architecture, a connection between two nodes isonly permittedfrom nodes in layerito nodes in layeri + 1(hence the termfeedforward; there are no backwards or inter-layer connections allowed).

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A simple neural network with Python and Keras

Sign in – Google Accounts

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Sign in – Google Accounts

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☃️ Live from Antarctica! How #Python is used in such a alien place #EuroPython ☃️

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☃️ Live from Antarctica! How #Python is used in such a alien place #EuroPython ☃️

Deep Learning with Python

  • Written by Keras creator and Google AI researcher Franois Chollet, this book builds your understanding through intuitive explanations and practical examples.
  • Listen to this book in liveAudio!
  • liveAudio integrates a professional voice recording with the books text, graphics, code, and exercises in Mannings exclusive liveBook online reader.
  • Use the text to search and navigate the audio, or download the audio-only recording for portable offline listening.
  • You can purchase or upgrade to liveAudio here or in liveBook.

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Deep Learning with Python

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Replacing netstat’s 90s C Code With Modern Python

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Replacing netstat’s 90s C Code With Modern Python | Lobsters

Google Colaboratory

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Google Colaboratory





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