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Notebooks from the Practical AI Workshop

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[开发(python) 所属分类 开发(python) | 发布者 店小二03 | 时间 2019 | 作者 红领巾 ] 0人收藏点击收藏

Last month, I delivered the one-day workshop Practical AI for the Working Software Engineer at the Artificial Intelligence Live conference in Orlando. As the title suggests, the workshop was aimed at developers, bu I didn't assume any particular programming language background. In addition to the lecture slides , the workshop was delivered as a series of Jupyter notebooks . I ran them using Azure Notebooks (which meant the participants had nothing to install and very little to set up), but you can run them in any Jupyter environment you like, as long as it has access to R and python. You can download the notebooks and slides from this Github repository (and feedback is welcome there, too).

The workshop was divided into five sections, each with its associated Notebook:

The AI behind Seeing AI . Use the web interfaces to Cognitive Services to learn about the AI services behind the " Seeing AI " app Computer Vision API with R . Use an R script to interact with the Computer Vision API and generate captions for random Wikimedia images. Custom Vision with R . An R function to classify an image as a "Hot Dog" or "Not Hot Dog", using the Custom Vision service. MNIST with scikit-learn . Use sckikit-learn to build a digit recognizer for the MNIST data using a regression model. MNIST with Tensorflow . Use Tensorflow (from Python) to build a digit recognizer for the MNIST data using a convolutional neural network.

The workshop was a practical version of a talk I also gave at AI Live, " Getting Started with Deep Learning ", and I've embedded those slides below.

本文开发(python)相关术语:python基础教程 python多线程 web开发工程师 软件开发工程师 软件开发流程

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