1132_Neural Network and Application
Course Period：Now ~ Any Time
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Course Intro
Course Plan
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Course Introduction
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keras_chapter1_code
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keras_chapter2_code
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Keras_chapter1_ppt
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keras_chapter2_ppt
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keras_chapter3_ppt
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keras_chapter4_ppt
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chapter1_code_reference
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chapter2_code_reference
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chapter3_code_reference
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chapter4_code_reference
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chapter5_code_reference
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common_functions
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Introduction and overview
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chapter 1 _ Python Introduction
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Chapter 2_Perceptron
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Chapter 3_neural network
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Chapter 4_neural network learning
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Chapter 5_error backward propagation
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Chapter 6_skill of neural network learning
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Chapter 7_convolutional neural network(CNN)
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Chapter 8_Deep Learning Application
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chapter3_code_reference
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ch04_code_reference
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chapter3_package
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package_module
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Trained weights sample
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ch5_layer_naive
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twolayer_reference
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chapter 6_reference
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final_reference
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emnist_letter_download_link
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Emnist_download & application_reference
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emnist_letter_recognize_reference
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keras_code_reference_1_4
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mnist_dataset_download
Teacher /
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