plot the loss surface (BCE and MSE)for a two layers neural network
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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相關文章
- 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