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Posted to dev@mxnet.apache.org by Dom Divakaruni <do...@gmail.com> on 2017/06/05 13:44:48 UTC
Fwd: Great MXNET tutorials and articles
Forwarding - Helpful set of blog posts
> From: "Brandaleone, Nick" <nb...@amazon.com>
> Date: June 5, 2017 at 6:39:18 AM PDT
> Subject: Great MXNET tutorials and articles
>
> Hi guys,
>
> I came across the following MXNET blog articles by AWS evangelist Julien Simon.
> They are great, and I certainly learned a thing or two by reading them.
>
> 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.
> An Introduction to the MXNet Python API
> Part 2: The Symbol API
> Part 3: The Module API
> Part 4: Using a pre-trained model for image classification (Inception v3)
> Part 5: More pre-trained models (VGG16 and ResNet-152)
> Part 6: Real-time object detection on a Raspberry Pi (and it speaks, too!)
>
> In a previous series, we discovered how we could use the MXNet library and pre-trained models for object detection. In this series, we’re going to focus on training models with a number of different data sets.
> https://chatbotslife.com/training-mxnet-part-1-mnist-6f0dc4210c62
> Part 2 : Training on CIFAR-10
> Part 3 : CIFAR-10 redux
> Part 4: Distributed training
> Part 5: Distributed training, EFS edition
>
>
>