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Yang YueXiang edited this page Oct 4, 2019
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- Anomaly detection methods
- How to clean Jupyter Notebook enviroment under JupyterHub
- Configure JupyterHub for multiple users sharing one Ubuntu server
- Model Performance Analysis
- Customize your Python environment in Jupyterhub
- What is numpy.newaxis and when to use it
- Test Image Classifier and Show the Result
- CNN Model: Add Dense Layers on top of Frozen Convolutional Layers
- CNN Model: CNN Model: Freeze Convolutional Layers
- CNN Model: Plot
- Keras Applications: preprocess_input, decode_predictions and get all layers' output
- CNN Model: LeNet
- Activation Maximization using Keras Visualization Toolkit
- How convolutional neural networks see the world(An exploration of convnet filters with Keras)
- vgg16 1000 classes
- MatPlotLib SubPlots, GridSpec, and Axes
- Understanding your Convolution network with Visualizations
- Data Augmentation : Show augmented image generated by ImageDataGenerator
- Recall and Precision
- Save model training history into file, load history from file
- Plot loss charts and accuracy charts based on training history
- Confusion Matrix and Classification Report
- Find indexes of items which are not classified predicted correctly
- Keras Callbacks
- 【详解】keras + predict_generator + ImageDataGenerator.flow_from_ditectory 进行预测
- Get classification class names and labels from validation_generator or train_generator
- Confusion Matrix and Classification Report
- model.evaluate 和 model.predict 的区别
- model.predict_classes(test) 和model.predict(test) 区别