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Convolutional Neural Network (CNN)
https://www.tensorflow.org/tutorials/images/cnn?hl=zh-tw
Import TensorFlow
Download and prepare the CIFAR10 dataset
Verify the data
Create the convolutional base
Add Dense layers on top
Compile and train the model
Evaluate the model
Basic classification: Classify images of clothing
https://www.tensorflow.org/tutorials/keras/classification?hl=zh-tw
Import the Fashion MNIST dataset
Explore the data
Preprocess the data
Build the model
Set up the layers
Compile the model
Train the model
Feed the model
Evaluate accuracy
Make predictions
Verify predictions
Use the trained model
¼v¹³³B²z (Image Processing)
Generative
Neural style transfer
https://www.tensorflow.org/tutorials/generative/style_transfer?hl=zh-tw
Deep Convolutional Generative Adversarial Network
https://www.tensorflow.org/tutorials/generative/dcgan?hl=zh-tw
Intro to Autoencoders
https://www.tensorflow.org/tutorials/generative/autoencoder?hl=zh-tw
Import TensorFlow and other libraries
Load the dataset
First example: Basic autoencoder
Second example: Image denoising
Define a convolutional autoencoder
Third example: Anomaly detection
Overview
Load ECG data
Build the model
Detect anomalies