Ejemplos sobre las redes neuronales CNN, utilizando Python y sus librerias de ciencia de datos; así como: Keras, Tensorflow, Estimator API y Excel.
-
Updated
Oct 27, 2023 - Python
Ejemplos sobre las redes neuronales CNN, utilizando Python y sus librerias de ciencia de datos; así como: Keras, Tensorflow, Estimator API y Excel.
A general-purpose model for document ranking, includes natural language processing and deep interest net inside.
a high performance tensorflow version for relation extraction of named entity
a implementation of google QAnet, a tensorflow estimator version, have very good proved performance
I present to smart fashion AI team a framework for specifying, training, evaluating, and deploying machine learning models.
Deep Neural Network for Weather Time Series Forecasting
This is a fast and simple tutorial on how to apply Tensorflow serving
Datalab | BigQuery | AI Platform
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.
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
a tensorflow version for elmo, a kind of dynamic word embedding
MobileNetV2 written in tensorflow, training with eager mode and estimator API
Model for identification of Positive/Negative Sentiments in texts using TensorFlow's Estimator API.
RNN (char-lm) using Estimator API-tensorflow
Add a description, image, and links to the estimator-api topic page so that developers can more easily learn about it.
To associate your repository with the estimator-api topic, visit your repo's landing page and select "manage topics."