【学习笔记】WEEK3_Shallow Neural Network_Backpropagation intuition (optional)
2018-04-08 15:20
701 查看
1、梯度下降算法总结（2层神经网络）
2、（无随堂测验）
2、（无随堂测验）
内容来自用户分享和网络整理，不保证内容的准确性，如有侵权内容，可联系管理员处理 
相关文章推荐
- 【学习笔记】WEEK3_Shallow Neural Network_Why do you need non-linear activation functions?
- 【学习笔记】WEEK3_Shallow Neural Network_Random Initialization
- 【学习笔记】WEEK3_Shallow Neural Network_Vectorizing across multiple examples
- 【学习笔记】WEEK3_Shallow Neural Network_Derivatives of activation functions
- 【学习笔记】WEEK3_Shallow Neural Network_Explanation for Vectorized Implementation
- 【学习笔记】WEEK3_Shallow Neural Network_Neural Networks Overview
- 【学习笔记】WEEK3_Shallow Neural Network_Gradient descent for Neural Networks
- 【学习笔记】WEEK3_Shallow Neural Network_Neural Network Representation
- 【学习笔记】WEEK3_Shallow Neural Network_Activation functions
- 【学习笔记】WEEK3_Shallow Neural Network_Computing a Neural Network's Output
- 【学习笔记】WEEK3_Practice Questions_Quiz_Shallow Neural Networks
- 【学习笔记】WEEK2_Practice Questions_Quiz_Neural Network Basics
- 【学习笔记】WEEK 1_Introduction to Deep Learning_What is a neural network?
- 学习笔记5 Supervised Convolutional Neural Network 之 Stochastic Gradient Descent
- 【学习笔记】WEEK2_Programming Assignments_Python Basics with numpy (optional)
- 风格迁移学习笔记(1):Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast
- Coursera deeplearning.ai 深度学习笔记1-2-Neural Network Basics-逻辑回归原理推导与代码实现
- 【Deep Learning学习笔记】NEURAL NETWORK BASED LANGUAGE MODELS FOR HIGHLY INFLECTIVE LANGUAGES_google2009
- Principles of training multi-layer neural network using backpropagation
- Error Back Propagation in BPNeuralNetwork及实现手写字体识别python版