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Title: 為何要對圖形中 0-255 的灰階像素值做 normalization (將灰階值數值範圍縮減到 [0 - 1])? · Issue #3 · WomenWhoCodeTaipei/DeepLearningwithPython · GitHub

Open Graph Title: 為何要對圖形中 0-255 的灰階像素值做 normalization (將灰階值數值範圍縮減到 [0 - 1])? · Issue #3 · WomenWhoCodeTaipei/DeepLearningwithPython

X Title: 為何要對圖形中 0-255 的灰階像素值做 normalization (將灰階值數值範圍縮減到 [0 - 1])? · Issue #3 · WomenWhoCodeTaipei/DeepLearningwithPython

Description: 9/22 第二次讀書會（Chapter 2）現場提問 在 "A First Look at a Neural Network" note book 中，為何要將所有的灰階像素除以 255？(code example 如下)？ train_images = train_images.reshape((60000, 28 * 28)) train_images = train_images.astype('float32') / 255 test_images = test...

Open Graph Description: 9/22 第二次讀書會（Chapter 2）現場提問 在 "A First Look at a Neural Network" note book 中，為何要將所有的灰階像素除以 255？(code example 如下)？ train_images = train_images.reshape((60000, 28 * 28)) train_images = train_images.as...

X Description: 9/22 第二次讀書會（Chapter 2）現場提問 在 "A First Look at a Neural Network" note book 中，為何要將所有的灰階像素除以 255？(code example 如下)？ train_images = train_images.reshape((60000, 28 * 28)) train_images = train...

Opengraph URL: https://github.com/WomenWhoCodeTaipei/DeepLearningwithPython/issues/3

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