AWS hosts a variety of public datasets that anyone can access for free. Previously, large datasets such as satellite imagery or genomic data have required hours or days to locate, download, customize, and analyze. When data is made publicly available on AWS, anyone can analyze any volume of data without needing to download or store it themselves.
Source: amazon.com
Automated front-end development using deeplearningSketchCode: Go from idea to HTML in 5secondsAshwin Kumar was previously the co-founder of Sway Finance, a Y Combinator-backed startup that used machine learning to automate accounting. At Insight, he developed a model that allows users to create working HTML websites from hand-drawn wireframes, significantly accelerating the design process. He is now a Deep Learning Scientist at Mythic.
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Don’t follow the TensorFlow docs since they explain how to setup a docker image and compile TF serving that takes forever. We can do much better. Some guy made a docker image with everything already compile on it, so we are going to use that one.
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Far from a being a fad, the overwhelming success of speech-enabled products like Amazon Alexa has proven that some degree of speech support will be an essential aspect of household tech for the foreseeable future. If you think about it, the reasons why are pretty obvious. Incorporating speech recognition into your Python application offers a level of interactivity and accessibility that few technologies can match.
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