p.184 5.7.3 Verifying the slope determined by the error backpropagation method I'm trying to implement it.
In the previous section
I think it's because I set the wrong directory because I kept googling when I loaded the from dataset.mnist import load_mnist file.
The path was modified using os.chdir().
-> os.chdir ("C:\python36\from_scratch-master\deeplearning_from_scratch-master\ch1.Hello Python")
By this route.
Then I loaded the file from dataset.mnist import load_mnist.
I need to get from two_layer_net import TwoLayerNet, but it didn't.
So I set the route again.
-> os.chdir ("C:\python36\deeplearning_from_scratch-master") Like this
But I keep getting errors
Traceback (most recent call last): File "", line 1, in from two_layer_net import TwoLayerNet ModuleNotFoundError: No module named 'two_layer_net'
I saved the download from GitHub in this path.
C:\python36\deeplearning_from_scratch-master
It's not hard to implement anything else, but the path is a problem whenever I keep calling the files I'm trying to retrieve from GitHub.
I want to know how to set the path.
deep-learning
I can't quite understand the question because it's too long.
Assume that the two_layer_net module file is located in C:\python36\deeplearning_from_scratch-master
import sys
print(sys.path)
This will show you a list of paths to call the module.
sys.path.append('C:\python36\deeplearning_from_scratch-master')
This adds a path.
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