TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well.
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Recently added tensorflow resources
f you have some experience in Python programming, this specialization will equip you with the skills for Feature Engineering on Google Cloud Platform using TensorFlowArticle Added by sakimjan // sinxloud.com // 2 months ago
This repository aims to provide simple and ready-to-use tutorials for TensorFlow.Tutorial Added by astorfi // github.com // about 1 year ago
Tutorial Added by AswamyUtopia // learningtensorflow.com // about 2 years ago
We're going to train our own image classifier to detect Darth Vader images.
Build a Softmax Regression Model
Train the Model
Build a Multilayer Convolutional NetworkTutorial Added by StanBright // www.tensorflow.org // over 2 years ago
The MNIST Data
Implementing the Regression
Evaluating Our ModelTutorial Added by StanBright // www.tensorflow.org // over 2 years ago
Linear Model In Brief
Linear Model in TFTutorial Added by StanBright // medium.com // over 2 years ago
We are going to solve an overly simple, and unrealistic problem, which has the upside of making understanding the concepts of ML and TF easy. We want to predict a single scalar outcome, house price (in $) based on a single feature, house size (in square meters, sqm).
Rajat Monga works on the Google Brain Team, where he is the Technical Lead and Manager for TensorFlow - an open source machine learning library, and the center of Google’s efforts at scaling up deep learning.
This tutorial/review contains some very good ideasTutorial Added by StanBright // research.googleblog.com // over 2 years ago