TensorFlow
161 items from jtoy/awesome-tensorflow ★17,534
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@TensorFlow on Twitter twitter.com
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Model Maker tensorflow.org
A transfer learning library that simplifies the process of training, evaluation and deployment for TensorFlow Lite models (support: Image Classification, Object Detection, Text Classification, BERT Question Answer, Audio Classification, Recommendation etc.; API reference).
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SyntaxNet - Google's syntactic parser - A TensorFlow dependency library github.com
A TensorFlow implementation of the models described in Globally Normalized Transition-Based Neural Networks, Andor et al. (2016)
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Stanford Tensorflow for Deep Learning Research Course web.stanford.edu
Stanford Course about Tensorflow from 2017 - Syllabus - Unofficial Videos
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Android TensorFlow Machine Learning Example blog.mindorks.com
Android TensorFlow Machine Learning Example.
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Speedster github.com
Automatically apply SOTA optimization techniques to achieve the maximum inference speed-up on your hardware.
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RNNs In TensorFlow, A Practical Guide And Undocumented Features wildml.com
Step-by-step guide with full code examples on GitHub.
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TFRecords Guide warmspringwinds.github.io
semantic segmentation and handling the TFRecord file format.
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Why Google wants everyone to have access to TensorFlow video.foxnews.com
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TensorFlow - Not Just For Deep Learning terrytangyuan.github.io
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Building Machine Learning Estimator in TensorFlow terrytangyuan.github.io
Understanding the Internals of TensorFlow Learn Estimators
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Introduction to Scikit Flow - Simplified Interface to TensorFlow terrytangyuan.github.io
Key Features Illustrated
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TensorLayer tensorlayer.readthedocs.io
Modular implementation for TensorFlow's official tutorials. (CN).
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R Interface to TensorFlow tensorflow.rstudio.com
R interface to TensorFlow APIs, including Estimators, Keras, Datasets, etc.
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Tensorflow-Probability tensorflow.org
Probabilistic programming built on TensorFlow that makes it easy to combine probabilistic models and deep learning on modern hardware.
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TensorFlow Estimators tensorflow.org
high-level TensorFlow API that greatly simplifies machine learning programming (originally tensorflow/skflow)
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Stack Overflow stackoverflow.com
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TensorFlow Optimizations on Modern Intel® Architecture software.intel.com
Introduces TensorFlow optimizations on Intel® Xeon® and Intel® Xeon Phi™ processor-based platforms based on an Intel/Google collaboration.
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Hands-On Machine Learning with Scikit-Learn and TensorFlow shop.oreilly.com
by Aurélien Geron, former lead of the YouTube video classification team. Covers ML fundamentals, training and deploying deep nets across multiple servers and GPUs using TensorFlow, the latest CNN, RNN and Autoencoder architectures, and Reinforcement Learning (Deep Q).
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Reddit reddit.com
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Getting Started with TensorFlow packtpub.com
Get up and running with the latest numerical computing library by Google and dive deeper into your data, by Giancarlo Zaccone
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Building Machine Learning Projects with Tensorflow packtpub.com
by Rodolfo Bonnin. This book covers various projects in TensorFlow that expose what can be done with TensorFlow in different scenarios. The book provides projects on training models, machine learning, deep learning, and working with various neural networks. Each project is an…
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TensorFlow 2.0 in Action manning.com
by Thushan Ganegedara. This practical guide to building deep learning models with the new features of TensorFlow 2.0 is filled with engaging projects, simple language, and coverage of the latest algorithms.
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Deep Learning with Python machinelearningmastery.com
Develop Deep Learning Models on Theano and TensorFlow Using Keras by Jason Brownlee
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