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This is a bare bones example of TensorFlow, a machine learning package published by Google. You will not find a simpler introduction to it. In each example, a straight line is fit to some data. Values for the slope and y-intercept of the line that best fit the data are determined using gradient descent. If you do not know about gradient descent, check out the Wikipedia page.

tensorflow tensorflow-tutorials distributed-computing simple big-data linear-regression tensorflow-examples tensorflow-exercisesAndroid TensorFlow MachineLearning Example (Building TensorFlow for Android)

tensorflow tensorflow-tutorials tensorflow-android machine-learning machine-learning-android tensorflow-models tensorflow-examples deep-learning deep-neural-networks deeplearning deep-learning-tutorialThis repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

deep-learning tensorflow-examples convolutional-neural-networks recurrent-neural-networks autoencoder gan style-transfer natural-language-processing machine-translationAndroid TensorFlow Lite Machine Learning Example

tensorflow tensorflow-tutorials machine-learning tensorflow-lite tensorflow-examples deep-learning deep-neural-networks android-example machine-learning-algorithms tfliteTutorials for TensorFlow APIs the official documentation doesn't cover

tensorflow tensorflow-tutorials tensorflow-examples tf-tutorial tensorflow-exercises seq2seqThis is the TensorFlow documentation for tensorflow.org. We welcome contributions to the TensorFlow documentation from the community. See the Writing TensorFlow Documentation guide.

tensorflow tensorflow-tutorials tensorflow-examples documentation machine-learning deep-learning deep-neural-networksThe Applied Machine Learning Intensive (AMLI) is a collection of content that can be used to teach machine learning. The original content was created for a 10-week, bootcamp-style course for undergraduate college students. Designed for students who weren’t necessarily majoring in computer science, the goal was to enable participants to apply machine learning to different fields using high-level tools. The content primarily consists of slides, Jupyter notebooks, and facilitator guides. The slide decks are written in marp markdown syntax, which can be exported to other formats. The Jupyter notebooks were written in and targeted to run in Colab. The instructor guide as an odt document.

machine-learning data-science python3 tensorflow tensorflow-tutorials tensorflow-examples sklearnConnectionist Temporal Classification (CTC) by using Recurrent Neural Network (RNN) in TensorFlow. Run training by using train.py file.

tensorflow sound rnn ctc tensorflow-examples ctc-loss rnn-ctcAn example of tensorflow_serving client in Go. It demonstrates how to connect to the tensorflow_model_server launched as described in Serving a TensorFlow Model on TensorFlow documentation webpage.

tensorflow grpc tensorflow-tutorials tensorflow-examplesThis uses a frozen Tensorflow Chessbot model. Unlike that repo this runs completely in javascript using TensorflowJs, all client-side. The image is blurred and then the sobel gradients X and Y are used to find strong vertical and horizontal edges in the image corresponding to the chessboard. This is used to guess the bounds of the chessboard, and then generate a 256x256 px grayscale image as input for the tensorflow model.

chess tensorflow chessboard tensorflow-examples tensorflow-js
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