Systematic and complete notes (or guide) on getting started right away with Tensorflow. Inspired from "Complete Guide to Tensorflow for Deep Learning with Python" on Udemy.

Messing with Distributed TensorFlow and Kubernetes

I present to smart fashion AI team a framework for specifying, training, evaluating, and deploying machine learning models.

This is a fast and simple tutorial on how to apply Tensorflow serving

a tensorflow version for elmo， a kind of dynamic word embedding

Model for identification of Positive/Negative Sentiments in texts using TensorFlow's Estimator API.

Ejemplos sobre las redes neuronales CNN, utilizando Python y sus librerias de ciencia de datos; así como: Keras, Tensorflow, Estimator API y Excel.

RNN (char-lm) using Estimator API-tensorflow

Datalab | BigQuery | AI Platform

A general-purpose model for document ranking, includes natural language processing and deep interest net inside.

MobileNetV2 written in tensorflow, training with eager mode and estimator API

Deep Neural Network for Weather Time Series Forecasting

A Tensorflow pipeline for text classification task. the model is based on Text CNN with attention and position encoder. A pipeline is created: raw_data --> tf.record --> tf.dataset -- distributed tf.esitmator.

a implementation of google QAnet, a tensorflow estimator version, have very good proved performance

a high performance tensorflow version for relation extraction of named entity