Keras: Deep Learning library for Theano and TensorFlow

Keras: Deep Learning library for Theano & TensorFlow  #DataScience #bigdata #machinelearning

  • In particular, neural layers, cost functions, optimizers, initialization schemes, activation functions, regularization schemes are all standalone modules that you can combine to create new models.
  • The core data structure of Keras is a model, a way to organize layers.
  • A core principle of Keras is to make things reasonably simple, while allowing the user to be fully in control when they need to (the ultimate control being the easy extensibility of the source code).
  • You can now iterate on your training data in batches:

    Alternatively, you can feed batches to your model manually:

    Evaluate your performance in one line:

    Or generate predictions on new data:

    Building a question answering system, an image classification model, a Neural Turing Machine, or any other model is just as fast.

  • For a more in-depth tutorial about Keras, you can check out:

    In the examples folder of the repository, you will find more advanced models: question-answering with memory networks, text generation with stacked LSTMs, etc.

Keras is a high-level neural networks API, written in Python and capable of running on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.
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Keras: Deep Learning library for Theano and TensorFlow

Keras:Deep Learning library for Theano & TensorFlow Tutorial   #DataScience #MachineLearning

  • The core data structure of Keras is a model , a way to organize layers.
  • By default, Keras will use Theano as its tensor manipulation library.
  • The main type of model is the Sequential model, a linear stack of layers.
  • To be able to easily create new modules allows for total expressiveness, making Keras suitable for advanced research.
  • Getting started: 30 seconds to Keras

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@gcosma1: “Keras:Deep Learning library for Theano & TensorFlow Tutorial #DataScience #MachineLearning”


Keras is a minimalist, highly modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.


Keras: Deep Learning library for Theano and TensorFlow

Microsoft releases Project Malmo, its education-focused ‘Minecraft’ AI tool

Microsoft releases Project Malmo, its education-focused ‘Minecraft’ #AI tool

  • Microsoft has released Project Malmo, a platform that uses Minecraft as an environment for advanced research into artificial intelligence.
  • Microsoft releases Project Malmo, its education-focused ‘Minecraft’ AI tool
  • Project Malmo, previously referred to as Project AIX , has been spearheaded by a team working at a Microsoft research lab based in the English city of Cambridge.
  • Home > Computing > Microsoft releases Project Malmo, its
  • Microsoft hopes that Project Malmo will engage a broad range of users, and that its links to Minecraft will help entice more novice coders.

Read the full article, click here.


@RickKing16: “Microsoft releases Project Malmo, its education-focused ‘Minecraft’ #AI tool”


AI researchers and enthusiasts alike can now test out Microsoft’s toolset based on Minecraft.


Microsoft releases Project Malmo, its education-focused ‘Minecraft’ AI tool