台大李宏毅Machine Learning 2017Fall学习笔记 (9)Keras

时间 2020-12-27

标签 machine-learning deep-learning 机器学习深度学习李宏毅繁體版

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台大李宏毅Machine Learning 2017Fall学习笔记 (9)Keras 本节课主要讲述了如何利用Keras搭建深度学习模型。Keras是基于TensorFlow封装的上层API，看上去要好用不少啊~~~ 用Keras搭建深度学习法模型类似搭积木，直接贴PPT了。 Step 1: Define a set of function 上图中 model=Sequential() 的作用是

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1. 台大李宏毅Machine Learning 2017Fall学习笔记 (13)Semi-supervised Learning
2. 台大李宏毅Machine Learning 2017Fall学习笔记 (11)Convolutional Neural Network
3. 台大李宏毅Machine Learning 2017Fall学习笔记 (12)Why Deep?
4. 台大李宏毅Machine Learning 2017Fall学习笔记 (6)Logistic Regression
5. 台大李宏毅Machine Learning 2017Fall学习笔记 (8)Backpropagation
6. 台大李宏毅Machine Learning 2017Fall学习笔记 (4)Gradient Descent
7. 台大李宏毅Machine Learning 2017Fall学习笔记 (1)Introduction of machine Learning
8. 台大李宏毅Machine Learning 2017Fall学习笔记 (7)Introduction of Deep Learning
9. 台大李宏毅Machine Learning 2017Fall学习笔记 (10)Tips for Deep Learning
10. 台大李宏毅Machine Learning 2017Fall学习笔记 (2)Linear Regression and Overfitting
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1. 台大李宏毅Machine Learning 2017Fall学习笔记 (13)Semi-supervised Learning
2. 台大李宏毅Machine Learning 2017Fall学习笔记 (11)Convolutional Neural Network
3. 台大李宏毅Machine Learning 2017Fall学习笔记 (12)Why Deep?
4. 台大李宏毅Machine Learning 2017Fall学习笔记 (6)Logistic Regression
5. 台大李宏毅Machine Learning 2017Fall学习笔记 (8)Backpropagation
6. 台大李宏毅Machine Learning 2017Fall学习笔记 (4)Gradient Descent
7. 台大李宏毅Machine Learning 2017Fall学习笔记 (1)Introduction of machine Learning
8. 台大李宏毅Machine Learning 2017Fall学习笔记 (7)Introduction of Deep Learning
9. 台大李宏毅Machine Learning 2017Fall学习笔记 (10)Tips for Deep Learning
10. 台大李宏毅Machine Learning 2017Fall学习笔记 (2)Linear Regression and Overfitting

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