Build a simple text classifier with TF-Hub

Build an image classifier using transfer learning

Keras + Universal Sentence Encoder = Transfer Learning for text data

Tutorial sobre transferência de aprendizado utilizando Tensorflow Hub apresentado no IV Meetup PyData Manaus

It detects whether entered questions are similar or not

This project builds end-to-end multiclass Classification of dog breeds.

Image classifier application to classify flowers to 102 categories, using TnensorFlow hub and Conv2D

Part of engineering thesis. Serving Tensorflow Hub's model with FastAPI

A performance comparison of sentiment analysis between pre-trained NLP models and visualization them in TensorBoard . Fine tuning some model to for more accurate prediction.

Landmark Detection (Google Lens like Interface) using TensorFlow Hub & Gradio

This is repo is in development. It is used to keep resources, course references, and code examples while preparing for the TensorFlow Developer Certification exam. If the work here helps you in some way please feel free to share, fork, or star.

Image Scene Classification Model for TensorFlow Hub

Apply style transfer on 2 different CSU East Bay campus images, using 2 different painting styles

Essa é uma aplicação que utiliza os classificadores do tensor hub e o Tensorflow JS para a criação de uma extensão chrome que filtre toda imagens.

A Machine Learning model that predicts the breed of a dog given it's image

A website with complete cloud integration that utilizes terraform and dockers for deployment to use an image to predict the location in Asia.

Artnet is a social network based on sharing artworks

Uses Transfer Learning to create an advanced and more accurate Machine Learning model for classifying type of flowers in the flower dataset

Fake News Headlines Detection using different NLP strategies: BOW, FastText Embedding, Transformers.

Text analysis with NLP Tool kit basics and Preprocessing the text using Tensorflow built-in models