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我正在尝试使用 tensorflow 做卷积神经网络。我为此使用 tflearn。我已经从这个网站下载了数据

Traceback (most recent call last):
File "C:/Users/Sukumar/Python/ML/cnn_tflearn.py", line 7, in <module>
X, Y, test_x, test_y = mnist.load_data(one_hot=True)
File "C:\Users\Sukumar\Miniconda3\lib\site-packages\tflearn\datasets\mnist.py", line 15, in load_data
mnist = read_data_sets("mnist/", one_hot=one_hot)
File "C:\Users\Sukumar\Miniconda3\lib\site-packages\tflearn\datasets\mnist.py", line 161, in read_data_sets
train_images = extract_images(local_file)
File "C:\Users\Sukumar\Miniconda3\lib\site-packages\tflearn\datasets\mnist.py", line 50, in extract_images
buf = bytestream.read(rows * cols * num_images)
File "C:\Users\Sukumar\Miniconda3\lib\gzip.py", line 274, in read
return self._buffer.read(size)
TypeError: only integer scalar arrays can be converted to a scalar index
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1 回答 1

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MNIST 文件将与使用 NVIDIA cuDNN 的 GPU 支持的 TensorFlow 版本一起使用,这里有一篇关于安装它们的帖子如何验证 CuDNN 安装?.

于 2017-02-19T15:49:44.777 回答