kerasを使ったcnn

sudo nvidia-docker run --name yoshitake01 -it chainer/chainer /bin/bash
apt-get update
apt-get install ssh
pip install --upgrade pip
pip3 install ipython
pip3 install Image
pip3 install keras
pip3 install tensorflow-gpu
pip3 install np_utils

apt install nano
apt install python3-pip
python3 -m pip install --upgrade pip
python3 -m pip install keras
python3 -m pip install tensorflow-gpu
python3 -m pip install ipython
ここまで失敗

sudo docker run --runtime=nvidia --name yoshitake04 -it nvidia/cuda:9.1-cudnn7-devel /bin/bash
apt-get update
apt install -y ssh python3-pip nano 
python3 -m pip install --upgrade pip
python3 -m pip install keras
python3 -m pip install tensorflow-gpu
python3 -m pip install ipython
python3 -m pip install opencv-python

sudo docker pull nvidia/cuda:9.0-cudnn7-devel
sudo docker run --runtime=nvidia --name yoshitake03 -it nvidia/cuda:9.0-cudnn7-devel /bin/bash
apt-get update
apt install -y ssh python3-pip nano git unzip screen
echo "termcapinfo xterm 'is=\E[r\E[m\E[2J\E[H\E[?7h\E[?1;4;6l'
defscrollback 100000
screen /bin/bash" > ~/.screenrc

python3 -m pip install --upgrade pip
python3 -m pip install keras
python3 -m pip install tensorflow-gpu
python3 -m pip install ipython
python3 -m pip install opencv-python
python3 -m pip install tqdm
python3 -m pip install Pillow
python3 -m pip install matplotlib

apt install -y libglib2.0 libsm6 libxext6 libfontconfig1 libxrender1 python3-tk
sudo docker start -i yoshitake03
なんとかlibcudnn7-dev_7.0.5.15-1+cuda9.0_amd64.deb とlibcudnn7_7.0.5.15-1+cuda9.0_amd64.debをコピーしてくる。
dpkg -i libcudnn7*

od -An -v -tu1 -j16 -w28 train-images-idx3-ubyte |more


  • kerasを使ったcnn.1524874092.txt.gz
  • 最終更新: 2018/04/28 00:08
  • by suikou