Deploying a fastai model on Windows with Flask. Doing a basic web deployment of a deep learning model is good way to prototype how your model will be used and to validate assumptions that you made during the training process. While working with…
Doing a basic web deployment of a deep learning model is good way to prototype how your model will be used and to validate assumptions that you made during the training process. While working with Keras, I did simple deployments of several models and published articles describing my experience deploying Keras models with Facebook Messenger and Flask.
Since I have been spending a lot of time in the last year using the other major high-level deep learning framework, fastai, I wanted to get practical experience with simple deployments of fastai models. I decided to adapt the the approach I used for web deployment of Keras models with Flask. In this article I will describe some of the hurdles I had to overcome to create simple web deployments of fastai models, as well as some unexpected benefits that fastai provides for deployment compared to Keras.
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Keras Tutorial - Learn Keras Introduction, installation, Keras Features, Applications of Keras, Keras Layers, Keras models and keras visualize training.
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Learn the Features of Keras that make it worth to learn keras like backend support, the basis of innovation, and the simplicity of Keras API etc.
Deep learning is one of the most interesting and promising areas of artificial intelligence (AI) and machine learning currently. With great advances in technology and algorithms in recent years, deep learning has opened the door to a new era of AI applications.