Kartikey Rawat
Developer Advocate
Surat, India
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Senior Developer Advocate at Qualcomm
Area of Expertise
Topics
LLM Inference using MediaPipe with Gemma
how to use the LLM Inference API to run common text-to-text generation tasks like information retrieval, email drafting, and document summarization, on web.
Make a smart camera using a pre-trained TensorFlow.js Machine Learning model
Learnt benefits of using TensorFlow.js and pre-made ML models
Created a fully working web page to classify common objects in real-time using your webcam by:
1. Creating an HTML skeleton for content
2. Defining styles of the HTML content
3. Detecting and enabling a webcam stream
4. Loading a pre-trained TensorFlow.js model
5. Using the loaded model to make continuous classifications
6. Drawing a bounding box around objects in the image.
Implementation of Linear Regression using tfjs
- Introduction to Tensorflow.js
- Architecture of TFJS
- Project WorkFlow
1.Firstly we create an html and js file
2.Add cdn to html file
3.Link the .js file with html
4. Then jump into the linear regression one
[ Gemma Day Extended ] - TFUGs Abidjan & Bassam Sessionize Event
Global AI Student Conference Sessionize Event
Kartikey Rawat
Developer Advocate
Surat, India
Actions
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