akshay196
commented
1 year ago Excited to see you at the meetup. Conference link: https://meet.jit.si/PythonPuneNov22 More details can be found on https://www.meetup.com/pythonpune/events/289738840/ cc @bhattbhavesh91
Title of the talk
Building ML Powered Web Applications using Python, TensorFlow Hub & Gradio
Description
With ML becoming more mainstream, the need for reinventing the wheel has decreased & there is very little entry barrier for creating ML powered applications. TensorFlow Hub is an open repository and library for reusable machine learning. The repository provides many pre-trained models: text embeddings, image classification models, TFjs/TFLite models and much more. The repository is open to community contributors. Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere! In this session, I'll demonstrate how one can use Python, TensorFlow Hub & Gradio to create a fully functional ML powered web application.
Table of contents
In this session, I'll demonstrate how one can use Python, TensorFlow Hub & Gradio to create a fully functional ML powered web application.
Duration (including Q&A)
30 mins
Prerequisites
No response
Speaker bio
I am Bhavesh Bhatt - I am a Google Developer Expert (GDE) in Machine Learning. I am a Data Scientist based out of Mumbai, India. My primary interests include Computer Vision, Machine Learning, Deep Learning. I have designed & deployed multiple machine learning & deep learning models that have had a significant business impact. I have also been awarded the prestigious 40 Under 40 Data Scientist award. I am humbled to share that I have been recognized by GitHub as a GitHub Star. I am also extremely humbled to have more than 1700+ followers on GitHub. I have worked with multiple EdTech startups like Great Learning, GreyAtom and upGrad in delivering sessions & developing their machine learning course curriculum. I have also closely worked with Data Science aspirants to help them transition into a Data Science Career. In order to give back to the community from which I learnt so much I started creating videos on YouTube & currently I have close to 320 videos with 3 Million views & 40k+ subscribers.
The talk/workshop speaker agrees to
[X] Share the slides, code snippets and other material used during the talk
[X] If the talk is recorded, you grant the permission to release the video on PythonPune's YouTube channel under CC-BY-4.0 license
[X] Not do any hiring pitches during the talk and follow the Code of Conduct