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

Towards an integration of deep learning and neuroscience

Integration of Deep Learning and Neuroscience  by @AdamMarblestone @KordingLab & @DeepMindAI

  • We suggest directions by which neuroscience could seek to refine and test these hypotheses.
  • Two recent developments have emerged within machine learning that create an opportunity to connect these seemingly divergent perspectives.
  • We hypothesize that (1) the brain optimizes cost functions, (2) these cost functions are diverse and differ across brain locations and over development, and (3) optimization operates within a pre-structured architecture matched to the computational problems posed by behavior.
  • Cost functions and training procedures have become more complex and are varied across layers and over time.
  • In machine learning artificial neural networks tend to eschew precisely designed codes, dynamics or circuits in favor of brute force optimization of a cost function, often using simple and relatively uniform initial architectures.

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@neuroraf: “Integration of Deep Learning and Neuroscience by @AdamMarblestone @KordingLab & @DeepMindAI”


bioRxiv – the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution


Towards an integration of deep learning and neuroscience