plot the loss surface (BCE and MSE)for a two layers neural network

時間 2020-05-11

標籤 plot loss surface bce mse layers neural network 欄目 Microsoft Surface 简体版

原文原文鏈接

import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D def mlp_layer(x, w, b=0, activate="tanh"): if activate=="tanh": return np.tanh((w.transpose())*x

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1. Distilling the Knowledge in a Neural Network
2. Implementing a Neural Network from Scratch in Python – An Introduction
3. [Tensorflow] Cookbook - Neural Network
4. Logistic-Regression-with-a-Neural-Network-mindset
5. NN Representational power && Setting number of layers and their sizes
6. 深度學習：Neural Network Layers Understanding
7. （轉）A Recipe for Training Neural Networks
8. 00040-Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional
9. A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions
10. Recurrent Neural Network Tutorial, Part 4 – Implementing a GRU/LSTM RNN with Python and Theano

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