Machine Learning Study

• VGG-16
  • vgg16_introduction.ipynb
• MobileNet
  • mobilenet_study.ipynb
• onnx_list_layer_operation.ipynb
  • Show the layer operateion of each model in onnx zoo.

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• Basic of TensorFlow

  • Introduction.ipynb
  • tensorflow_tips_01.ipynb
    • What is difference between tf.truncated_normal and tf.random_normal?
    • tf.nn.conv2d-是怎麼實現卷積的？
    • tf.nn.max_pool 實現池化操作

• Simple Classification Example

  • simple_classification.ipynb

• Simple Regression Example

  • simple_regression.ipynb

• TensorBoard Example

  • tensorboard_ex01.ipynb
  • tensorboard_ex02.ipynb
    • Graph Visualization of simple_classification.ipynb

• MNIST with Softmax Regression

  • mnist_softmax_regression.ipynb
    • Get data from MNIST and only with softmax regression, no CNN.
  • ToDo
    • Softmax Regression
    • Cross-Entropy
      • Visual Information Theory
    • Calculus on Computational Graphs: Backpropagation

• MNIST with vanilla CNN

  • mnist_vanilla_cnn.ipynb
    • Extend mnist_softmax_regression.ipynb, we improve it with a simple CNN
      • 1 x Input layer.
      • 2 x Convolution layer. (Convolution + Pooling)
      • 1 x Full connected layer.
      • 1 x Ouptut layer.

Temp

• Tensorflow-101
• [Tutorials use tf.keras]