# MLStudy Demo结构
## ann 人工神经网络
### neuro 神经元模型
- sgn 激励函数
- visual 激励函数可视化
- model 统一阈值模型
### perceptron 感知机
# 心得记录
1. 2019-10-10 机器学习，即是连接权重与阈值的不断调整
机器学习、机器智能学习Demo.zip （89个子文件） 
content computervisual 
__init__.py 72B filters __init__.py 72B means_filter.py 851B __pycache__ __init__.cpython-36.pyc 131B means_filter.cpython-36.pyc 689B test.py 913B visual __init__.py 73B compare.py 304B __pycache__ __init__.cpython-36.pyc 142B compare.cpython-36.pyc 436B images 
ironman.jpg 67KB __pycache__ __init__.cpython-36.pyc 123B sharpen __init__.py 73B __pycache__ sobel.cpython-36.pyc 894B __init__.cpython-36.pyc 143B test.py 1KB sobel.py 970B ann __init__.py 15B bp BpDemo.py 696B __init__.py 0B
image.png 303B DataSet.py 1KB neurons_layer.csv 48B NeuralNetwork.py 3KB learn_step_result.csv 149B neurons_number.csv 109B visual.py 3KB
BP算法.pdf 431KB __pycache__ DataSet.cpython-36.pyc 1009B NeuralNetwork.cpython-36.pyc 2KB __init__.cpython-36.pyc 127B perceptron __init__.py 15B learn.py 2KB data.csv 68B lda __init__.py 50B visual.py 300B LDA.py 4KB knn __init__.py 50B knn.py 3KB test.py 833B k-means __init__.py 50B kmeans.py 5KB test.py 374B __pycache__ __init__.cpython-36.pyc 124B brooks-robot robot.png 7KB __init__.py 49B trap.png 3KB robot1.py 4KB neuro __init__.py 15B excitation_function.jpg 2.86MB model.py 422B visual.py 443B excitation_function.py 1KB __pycache__ excitation_function.cpython-36.pyc 1KB __init__.cpython-36.pyc 130B mnist __init__.py 50B MatrixSigmoid.py 323B bp.py 5KB __pycache__ Layer.cpython-36.pyc 2KB __init__.cpython-36.pyc 130B MatrixSigmoid.cpython-36.pyc 487B Layer.py 2KB tf __init__.py 73B __pycache__ __init__.cpython-36.pyc 123B mnist input_data.py 7KB __init__.py 73B paint.py 3KB MNIST_data 
t10k-images-idx3-ubyte.gz 1.57MB train-labels-idx1-ubyte.gz 28KB train-images-idx3-ubyte.gz 9.45MB t10k-labels-idx1-ubyte.gz 4KB __pycache__ input_data.cpython-36.pyc 6KB __init__.cpython-36.pyc 129B demo.py 4KB readme.md 262B .idea other.xml 250B vcs.xml 180B misc.xml 195B inspectionProfiles profiles_settings.xml 174B MLStudy.iml 352B modules.xml 266B .gitignore 38B homework __init__.py 0B regressionHK2.py 0B knnHK1.py 3KB LoggerConfiguration.py 235B .gitignore 31B __pycache__ LoggerConfiguration.cpython-36.pyc 307B push.sh 53B资源评论
