Tensorflow-Tutorial | Tensorflow tutorial from basic to hard , 莫烦Python 中文AI教学 | Machine Learning library

git clone https://github.com/abaybektursun/tf_tutorial
cd tf_tutorial

pip3 install virtualenv

virtualenv --system-site-packages -p python3 ./venv
source ./venv/bin/activate
pip3 install --upgrade pip

virtualenv --system-site-packages -p python3 ./  

def __init__(self, vgg16_npy_path=None, restore_from=None):
        # pre-trained parameters
        try:
            self.data_dict = np.load(vgg16_npy_path, encoding='latin1').item()
        except FileNotFoundError:
            print('Please downl  

def save():
    print('This is save')
    # build neural network
    tf_x = tf.placeholder(tf.float32, x.shape)  # input x
    tf_y = tf.placeholder(tf.float32, y.shape)  # input y
    l = tf.layers.dense(tf_x, 10, tf.nn.relu)          # hidden layer  

def train():
    tigers_x, cats_x, tigers_y, cats_y = load_data()

    # plot fake length distribution
    plt.hist(tigers_y, bins=20, label='Tigers')
    plt.hist(cats_y, bins=10, label='Cats')
    plt.legend()
    plt.xlabel('length')
    plt.show(