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1 6 機器學習的應用

1 6 機器學習的應用. 機械系 洪振聰. An introduction to neural networks for beginners. By Dr Andy Thomas. Adventures in Machine Learning. https://ithelp.ithome.com.tw/articles/10191404. >cd Desktop >mkdir hiwin >cd hiwin >npm init >npm install express –save >npm install express-generator -g

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1 6 機器學習的應用

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  1. 16機器學習的應用 機械系 洪振聰 An introduction to neuralnetworks for beginners By Dr Andy Thomas Adventures in Machine Learning https://ithelp.ithome.com.tw/articles/10191404

  2. >cd Desktop >mkdir hiwin >cd hiwin >npm init >npm install express –save >npm install express-generator -g >express hiwinapp

  3. https://www.python.org/ftp/python/3.7.2/python-3.7.2.exe

  4. pip3 install --upgrade tensorflow

  5. 資料分析&機器學習 https://morvanzhou.github.io/tutorials/machine-learning/tensorflow/1-1-B-NN/

  6. 圖. Machine Learning 框架(Framework)GitHub評比，資料來源:【AI關鍵技術】三大熱門深度學習框架新進展。 https://ithelp.ithome.com.tw/articles/10191404

  7. C:\Users\軒> pip install tensorflow

  8. Python Machine Learning Tutorial import numpy as np import matplotlib.pyplot as plt def sigma(x): return 1 / (1 + np.exp(-x)) X = np.linspace(-5, 5, 100) plt.plot(X, sigma(X),'b') plt.xlabel('X Axis') plt.ylabel('Y Axis') plt.title('Sigmoid Function') plt.grid() plt.text(4, 0.8, r'$\sigma(x)=\frac{1}{1+e^{-x}}$', fontsize=16) plt.show() https://www.python-course.eu/neural_networks_with_python_numpy.php

  9. 本單元結束

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