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.

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
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