原创 keras實現常用深度學習模型LeNet,AlexNet,ZFNet,VGGNet,GoogleNet,Resnet

LeNet #coding=utf-8 from keras.models import Sequential from keras.layers import Dense,Flatten from keras.layers.convol

原创 語義分割SegNet

基於keras+tensorflow 直接上代碼 import numpy as np from keras.models import Sequential from keras.layers import Conv2D,MaxPoo

原创 Dogs vs. Cats Redux: Kernels Edition

訓練樣本數量超過內存,採用python生成器 基於keras + tensorflow+Resnet-34 直接上代碼 #coding=utf-8 import numpy as np import os import re from k

原创 win10下安裝openai gym[atari]

命令行pip install --no-index -f https://github.com/Kojoley/atari-py/releases atari_py裝完後測試import gym env = gym.make('Pong-

原创 ubuntu14.04 安裝anaconda+pycharm+cuda+cudnn+theano0.90+keras2.0.2+tensorflow1.1.0

1.Ubuntu初始環境設置 # 系統升級 >>> sudo apt update >>> sudo apt upgrade # 安裝python基礎開發包 >>> sudo apt install -y

原创 Digit Recognizer比賽Top6%

Learn computer vision fundamentals with the famous MNIST data 基於keras + tensorflow 分別採用VGG和Resnet網絡實現預測,效果分別是0.99300和0.