小编j_d*_*dev的帖子

使用https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html上的教程,我训练了一个Keras模型来识别猫与狗之间的区别.

'''
Directory structure:

data/
    train/
        dogs/
            dog001.jpg
            dog002.jpg
            ...
        cats/
            cat001.jpg
            cat002.jpg
            ...
    validation/
        dogs/
            dog001.jpg
            dog002.jpg
            ...
        cats/
            cat001.jpg
            cat002.jpg
            ...
'''    
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Conv2D, MaxPooling2D
from keras.layers import Activation, Dropout, Flatten, Dense
from keras import backend as K
from PIL import Image
import numpy as np

# dimensions of our images.
img_width, img_height = 150, 150

train_data_dir = 'data/train'
validation_data_dir = 'data/validation'
nb_train_samples = 2000
nb_validation_samples …

我正在尝试构建基于 Ubuntu 18.04 的自定义 Docker 映像。Ubuntu 预装了 Python 3.6，但我想 1.) 安装 Python 3.7，2.) 将其设置为默认 Python 版本（因此可以使用python、python3.7和 3.）安装 pip 来调用它。当我运行 docker build 时，它无法重新加载~/.bashrc，因此python不是python3.7. 我该如何解决这个问题？

FROM ubuntu:18.04

# Set temp work directory
# for package configuration
WORKDIR /usr/src/cache

# Update apt packages
RUN apt update
RUN apt upgrade -y

# Install vim
RUN apt install vim -y

# Install python 3.7
RUN apt install software-properties-common -y
RUN add-apt-repository ppa:deadsnakes/ppa
RUN apt install …