Try to use tf.estimator and tf.data together to train a cnn model.

TensorFlow implementation of Deep Convolutional Generative Adversarial Networks

Example to load, train, and evaluate ImageNet2012 dataset on a Keras model

TensorFlow 2.0 implementation of Improved Training of Wasserstein GANs

tiny-imagenet dataset downloader & reader using tensorflow_datasets (tfds) api

tfrecord

Building an image classifier in TF2

This repository contains the exercise notebooks for the Data Pipelines with TensorFlow Data Services (Coursera) course.

Google Summer of Code - 2019

We are going to use CPU for Extract , Transform and Load, and GPU for training model parallelly

You can freely purchase the block from:

The repository contains the materials discussed in part 1 of the Image Classification with YonoHub & Tensorflow V2.0 Series

It's a sample project for a recommender system using TensorFlow

A framework for training and evaluating a transformer with scaled dot product attention on a tensorflow dataset.

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

Image Classification modelling for the Oxford-Flowers102 dataset. Looking at a model that predicts new flower images based on the already pre-trained categories, with relative high accuracy.

Build MAXELLA App to recommend Movies using TensorFlow Recommenders (TFRS)

VGGNet-Family (11, 13, 16 & 19) Implementation to train on ImageNet 2012 using Tensorflow 2.x

Create Convolutional Neural Network from scratch with potato disease classification. App will allow farmers to snap a picture of a plant and determine whether the plant has a disease or not.

Utilize mobilenet_v2 and Finetune it with potato disease image dataset (3 classes). App will allow farmers to snap a picture of a plant and determine whether the plant has a disease or not.