xpngzhng

import os
os.environ["CUDA_VISIBLE_DEVICES"] = "0"

from keras.preprocessing.image import ImageDataGenerator
from keras import callbacks

train_dir = 'D:\\Meitu\\Slim\\train'
validation_dir = 'D:\\Meitu\\Slim\\val'
save_dir = './result'
image_size = 224

Mahedi-61

#!/bin/bash

### steps ####
# Verify the system has a cuda-capable gpu
# Download and install the nvidia cuda toolkit and cudnn
# Setup environmental variables
# Verify the installation
###

### to verify your gpu is cuda enable check

patik

Squashing Git Commits

The easy and flexible way

This method avoids merge conflicts if you have periodically pulled master into your branch. It also gives you the opportunity to squash into more than 1 commit, or to re-arrange your code into completely different commits (e.g. if you ended up working on three different features but the commits were not consecutive).

Note: You cannot use this method if you intend to open a pull request to merge your feature branch. This method requires committing directly to master.

Switch to the master branch and make sure you are up to date:

bjoernQ

<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
    package="de.mobilej.overlay"
    android:versionCode="1"
    android:versionName="1.0" >

    <uses-sdk android:minSdkVersion="14" />

    <application android:label="SystemOverlay" >
        <activity