Course 1 - TensorFlow-JS

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说明:  This repository contains the examples and exercises that accompany Course 1 - Browser-based Models with TensorFlow.js of the TensorFlow for Data and Deployment Specialization at Coursera.

文件列表:
Course 1 - TensorFlow-JS\Week 1\Examples\FirstHTML.html (1286, 2020-09-24)
Course 1 - TensorFlow-JS\Week 1\Examples\iris-classifier.html (2456, 2020-09-24)
Course 1 - TensorFlow-JS\Week 1\Examples\iris.csv (3716, 2020-09-24)
Course 1 - TensorFlow-JS\Week 1\Examples\License.txt (525, 2020-09-24)
Course 1 - TensorFlow-JS\Week 1\Exercise\License.txt (525, 2020-09-24)
Course 1 - TensorFlow-JS\Week 1\Exercise\wdbc-test.csv (46114, 2020-09-24)
Course 1 - TensorFlow-JS\Week 1\Exercise\wdbc-train.csv (183961, 2020-09-24)
Course 1 - TensorFlow-JS\Week 1\Exercise\wdbc_exercise.html (3923, 2020-09-24)
Course 1 - TensorFlow-JS\Week 2\Examples\data.js (5195, 2020-09-24)
Course 1 - TensorFlow-JS\Week 2\Examples\License.txt (525, 2020-09-24)
Course 1 - TensorFlow-JS\Week 2\Examples\mnist.html (774, 2020-09-24)
Course 1 - TensorFlow-JS\Week 2\Examples\script.js (3182, 2020-09-24)
Course 1 - TensorFlow-JS\Week 2\Exercise\fashion-data.js (5212, 2020-09-24)
Course 1 - TensorFlow-JS\Week 2\Exercise\fashion-mnist.html (795, 2020-09-24)
Course 1 - TensorFlow-JS\Week 2\Exercise\fashion-script_exercise.js (4265, 2020-09-24)
Course 1 - TensorFlow-JS\Week 2\Exercise\License.txt (525, 2020-09-24)
Course 1 - TensorFlow-JS\Week 3\Examples\coffee.jpg (30952, 2020-09-24)
Course 1 - TensorFlow-JS\Week 3\Examples\group1-shard1of1.bin (8, 2020-09-24)
Course 1 - TensorFlow-JS\Week 3\Examples\License.txt (525, 2020-09-24)
Course 1 - TensorFlow-JS\Week 3\Examples\Linear-to-JavaScript.ipynb (4024, 2020-09-24)
Course 1 - TensorFlow-JS\Week 3\Examples\linear.html (461, 2020-09-24)
Course 1 - TensorFlow-JS\Week 3\Examples\mobilenet.html (778, 2020-09-24)
Course 1 - TensorFlow-JS\Week 3\Examples\model.json (1224, 2020-09-24)
Course 1 - TensorFlow-JS\Week 3\Examples\toxicity.html (732, 2020-09-24)
Course 1 - TensorFlow-JS\Week 3\Exercise\License.txt (525, 2020-09-24)
Course 1 - TensorFlow-JS\Week 3\Exercise\TFJS_Week3_Exercise.ipynb (28970, 2020-09-24)
Course 1 - TensorFlow-JS\Week 4\Examples\index.js (2732, 2020-09-24)
Course 1 - TensorFlow-JS\Week 4\Examples\License.txt (525, 2020-09-24)
Course 1 - TensorFlow-JS\Week 4\Examples\retrain.html (1136, 2020-09-24)
Course 1 - TensorFlow-JS\Week 4\Examples\rps-dataset.js (885, 2020-09-24)
Course 1 - TensorFlow-JS\Week 4\Examples\webcam.js (3718, 2020-09-24)
Course 1 - TensorFlow-JS\Week 4\Exercise\index_exercise.js (3949, 2020-09-24)
Course 1 - TensorFlow-JS\Week 4\Exercise\License.txt (525, 2020-09-24)
Course 1 - TensorFlow-JS\Week 4\Exercise\rps-dataset.js (885, 2020-09-24)
Course 1 - TensorFlow-JS\Week 4\Exercise\rpsls.html (1574, 2020-09-24)
Course 1 - TensorFlow-JS\Week 4\Exercise\webcam.js (3718, 2020-09-24)
Course 1 - TensorFlow-JS\Week 1\Examples (0, 2020-09-24)
Course 1 - TensorFlow-JS\Week 1\Exercise (0, 2020-09-24)
Course 1 - TensorFlow-JS\Week 2\Examples (0, 2020-09-24)
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Course 1 - Browser-based Models with TensorFlow.js “ Examples and Exercises =========================================================================== This repository contains the examples and exercises that accompany Course 1 - Browser-based Models with TensorFlow.js of the TensorFlow for Data and Deployment Specialization at Coursera. # Setting Up You will need to have an internet browser, an HTML editor, and a web server installed on your machine to run the examples and exercises. We recommend you use [Chrome](https://www.google.com/chrome/) as your internet browser, [Brackets](http://brackets.io/) as your HTML editor and the [Web Server for Chrome App](https://chrome.google.com/webstore/detail/web-server-for-chrome/ofhbbkphhbklhfoeikjpcbhemlocgigb?hl=en) as your web server. All of these are free and are available for various platforms including Windows, Mac OS, and Linux. The exercise and example in Week 3 of this course also contains a Jupyter Notebook. To run this notebook you will need have installed Jupyter with Python 3, TensorFlow 2.0, Tensorflowjs, NumPy, and Matplotlib. Have fun learning TensorFlow.js!

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