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The Keras Blog

Is a Deep Learning library for Python, that is simple, modular, and extensible. Using pre-trained word embeddings in a Keras model. Sat 16 July 2016. In this tutorial, we will walk you through the process of solving a text classification problem using pre-trained word embeddings and a convolutional neural network. The full code for this tutorial is available on Github. What are word embeddings? Ideally, in a good embeddings space, the "path" (a vector) to go from "kitchen" and "dinner" would capture prec...

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Is a Deep Learning library for Python, that is simple, modular, and extensible. Using pre-trained word embeddings in a Keras model. Sat 16 July 2016. In this tutorial, we will walk you through the process of solving a text classification problem using pre-trained word embeddings and a convolutional neural network. The full code for this tutorial is available on Github. What are word embeddings? Ideally, in a good embeddings space, the path (a vector) to go from kitchen and dinner would capture prec...

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The Keras Blog | blog.keras.io Reviews

https://blog.keras.io

Is a Deep Learning library for Python, that is simple, modular, and extensible. Using pre-trained word embeddings in a Keras model. Sat 16 July 2016. In this tutorial, we will walk you through the process of solving a text classification problem using pre-trained word embeddings and a convolutional neural network. The full code for this tutorial is available on Github. What are word embeddings? Ideally, in a good embeddings space, the "path" (a vector) to go from "kitchen" and "dinner" would capture prec...

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blog.keras.io

1

Keras, now running on TensorFlow

https://blog.keras.io/keras-now-running-on-tensorflow.html

Is a Deep Learning library for Python, that is simple, modular, and extensible. Keras, now running on TensorFlow. Tue 01 December 2015. The purpose of Keras is to be a model-level framework, providing a set of "Lego blocks" for building Deep Learning models in a fast and straightforward way. Among Deep Learning frameworks, Keras is resolutely high up on the ladder of abstraction. From the LISA/MILA lab of Université de Montréal) and recently TensorFlow. It has become time for Keras to take advantage of t...

2

The Keras Blog

https://blog.keras.io/index.html

Is a Deep Learning library for Python, that is simple, modular, and extensible. Tue 14 March 2017. Keras was released two years ago, in March 2015. It then proceeded to grow from one user to one hundred thousand. Now we are releasing Keras 2, with a new API (even easier to use! That brings consistency with TensorFlow. This is a major step in preparation for the integration of the Keras API in core TensorFlow. Many things have changed. This is your quick summary. Keras is best understood as an API specifi...

3

Using pre-trained word embeddings in a Keras model

https://blog.keras.io/using-pre-trained-word-embeddings-in-a-keras-model.html

Is a Deep Learning library for Python, that is simple, modular, and extensible. Using pre-trained word embeddings in a Keras model. Sat 16 July 2016. In this tutorial, we will walk you through the process of solving a text classification problem using pre-trained word embeddings and a convolutional neural network. The full code for this tutorial is available on Github. What are word embeddings? Ideally, in a good embeddings space, the "path" (a vector) to go from "kitchen" and "dinner" would capture prec...

4

The Keras Blog - Tutorials

https://blog.keras.io/category/tutorials.html

Is a Deep Learning library for Python, that is simple, modular, and extensible. Using pre-trained word embeddings in a Keras model. Sat 16 July 2016. In this tutorial, we will walk you through the process of solving a text classification problem using pre-trained word embeddings and a convolutional neural network. The full code for this tutorial is available on Github. What are word embeddings? Ideally, in a good embeddings space, the "path" (a vector) to go from "kitchen" and "dinner" would capture prec...

5

Building powerful image classification models using very little data

https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html

Is a Deep Learning library for Python, that is simple, modular, and extensible. Building powerful image classification models using very little data. Sun 05 June 2016. In this tutorial, we will present a few simple yet effective methods that you can use to build a powerful image classifier, using only very few training examples - just a few hundred or thousand pictures from each class you want to be able to recognize. We will go over the following options:. For real-time data augmentation. Data/ train/ d...

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The Keras Blog

Is a Deep Learning library for Python, that is simple, modular, and extensible. Using pre-trained word embeddings in a Keras model. Sat 16 July 2016. In this tutorial, we will walk you through the process of solving a text classification problem using pre-trained word embeddings and a convolutional neural network. The full code for this tutorial is available on Github. What are word embeddings? Ideally, in a good embeddings space, the "path" (a vector) to go from "kitchen" and "dinner" would capture prec...

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