An Introduction to the MXNet Python API 

An Introduction to the MXNet #Python API #DeepLearning #NeuralNetworks

  • This post outlines an entire 6-part tutorial series on the MXNet deep learning library and its Python API.
  • In this series, I will try to give you an overview of the MXnet Deep Learning library: we’ll look at its main features and its Python API (which I suspect will be the #1 choice).
  • In this article, we’re going to work with a pre-trained model for image classification called Inception v3.
  • In part 4, we saw how easy it was to use a pre-trained version of the Inception v3 model for object detection.
  • In part 5, we used three different pre-trained models for object detection and compared them using a couple of images.


This post outlines an entire 6-part tutorial series on the MXNet deep learning library and its Python API. In-depth and descriptive, this is a great guide for anyone looking to start leveraging this powerful neural network library.

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An Introduction to Implementing Neural Networks using TensorFlow

An Introduction to Implementing Neural Networks using TensorFlow   #python

  • General way to solve problems with Neural Networks
  • After defining our neural network architecture, let’s initialize all the variables
  • We need to define cost of our neural network
  • We define a neural network with 3 layers;Â input, hidden and output.
  • It’s easy to classify TensorFlow as a neural network library, but it’s not just that.

An introduction to implement neural networks using TensorFlow. It covers applications of neural networks, introduction to Tensorflow & a practice problem
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Deep Learning Libraries by Language

#DeepLearning Libraries by Language

  • darch package can be used for generating neural networks with many layers (deep architectures).
  • Convnet.js is a Javascript library for training Deep Learning models (mainly Neural Networks) entirely in a browser.
  • DeepLearning is deep learning library, developed with C++ and python.
  • Pylearn2 is a library that wraps a lot of models and training algorithms such as Stochastic Gradient Descent that are commonly used in Deep Learning.
  • Intel® Deep Learning Framework provides a unified framework for Intel® platforms accelerating Deep Convolutional Neural Networks.

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@analyticbridge: “#DeepLearning Libraries by Language”


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Python

Theano is a python library for defining and evaluating mathematical expressions with numerical arrays.

Keras is a mi…


Deep Learning Libraries by Language