NLP model for recognising sarcastic sentences.
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Updated
Oct 6, 2021 - Jupyter Notebook
NLP model for recognising sarcastic sentences.
A review rating classifier using a DAN encoder, and dense, fully-connected layers
Fast neural style transfer - images
Mini-Project using TensorFlow Hub
Pablo is a webtool to transfer image styles onto an uploaded image using Tensorflow Hub and Google's Magenta library
Neural Style Transfer
Transfer Learning in TensorFlow.
Style Transfer using Tensoflow Hub
Tensorflow & Keras pretraining models deployed on Flask
This project was created to provide information on how to add and use the pre-trained food classification model through TensorFlow Hub.
This project is on fine-tuning a Bidirectional Transformers for Language Understanding (BERT) model for text classification with TensorFlow
TensorFlow Next Word Prediction Model on Heroku
A Smart Traffic Control System for the protection of the socially disadvantaged and rapid transport of emergency vehicles.
Demo website that performs Style Transfer with Machine Learning.
Using TFHub Modules for Classification
The lightweight engineering TensorFlow wrapper for AI engineer. Write less, Reuse more, Scale easily.
WTM IWD Oman - Tech Talk of the Week: Introduction to TensorFlow Hub (TF Hub)
A multi-class dog image classifier to identify the breed of a dog given an image of a dog using TensorFlow 2.0 and TensorFlow Hub.
Use of Tensorflow hub API for object detection
Neural style transfer is an optimization technique used to take two images—a content image and a style reference image (such as an artwork by a famous painter)—and blend them together so the output image looks like the content image, but “painted” in the style of the style reference image. This is implemented by optimizing the output image to ma…
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