Keras + Universal Sentence Encoder = Transfer Learning for text data

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

Image Scene Classification Model for TensorFlow Hub

It detects whether entered questions are similar or not

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

Build an image classifier using transfer learning

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.

Build a simple text classifier with TF-Hub

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

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.

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

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.

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

Artnet is a social network based on sharing artworks

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

This project demonstrates the use of various pre-trained models for transfer learning in NLP using TensorFlow Hub.

Basics of machine learning is END-TO-END Repository which includes very Basic Machine Learning Models and Notebook

The comparison between different embeddings (TF-IDF, USE, and TF-IDF + USE) and various classifiers provides valuable insights into the performance of different techniques for sentiment classification.

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

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