Image Classification With Streamlit| Deep Learning WebApp|

Deploy a deep learning keras model onto a web app using Streamlit.
We start by training a image classifier in tensorflow ans keras and then saving the model in google collab.
We then create a web application using streamlit and finally host the web server on the internet using ngrok application.
You will be able to deploy the ml web app directly from google collab.(Deep learning model deployment directly from google colab)

Link for tensorflow doc on image classification tutorial: https://www.tensorflow.org/tutorials/...
Github Source Code: https://github.com/nachi-hebbar/Flowe...

Recommended books for getting better at ML Web Apps and Flask:

Monetizing Machine Learning: Quickly Turn Python ML Ideas Into Web Applications on the Serverless Cloud: https://amzn.to/32lLXuM
Flask Web Development: Developing Web Applications with Python: https://amzn.to/32caPFm
Hands-On Python Deep Learning for the Web: https://amzn.to/34CxnCb
Flask web development from scratch : https://amzn.to/32f00lS


You can connect with me on linkedin: LinkedIn: nachiketa-hebbar-86186515b

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