- #Python jupyter notebook name is not defined how to#
- #Python jupyter notebook name is not defined full#
The code you have appears to be Python 2.x code, and you seem to be running it in Python 3.x. In this step-by-step Python tutorial, you learn how to get started with The Jupyter Notebook, an open source web application that you can use to create and share documents that contain live code. I guess I need to define np somewhere, but the practise code on the website I am using doesn't actually define np anywhere. The cmp built-in function is no longer available in Python. > 24 Y_train = np.utils.to_categorical(y_train, n_classes)Ģ5 Y_test = np.utils.to_categorical(y_test, n_classes)Ģ6 print ("Shape after one-hot encoding:", Y_train.shape) NameError Traceback (most recent call last)Ģ3 print ("Shape before one-hot encoding: ", y_train.shape) algorithm amazon-web-services arrays beautifulsoup csv dataframe datetime dictionary discord discord.py django django-models django-rest-framework flask for-loop function html json jupyter-notebook keras list loops machine-learning matplotlib numpy opencv pandas pip plot pygame pyqt5 pyspark python python-2.7 python-3.x pytorch regex scikit. Print ("Shape after one-hot encoding:", Y_train.shape)Įrror:. on MaMaby ittone Leave a Comment on python 3.
#Python jupyter notebook name is not defined full#
Y_test = np.utils.to_categorical(y_test, n_classes) 'How to get the remainder of a number when dividing in python' 'json' is not defined 'jupyter (notebook OR lab)' ipynb 'not trusted' 'must be called with either an object pk or a slug in the URLconf' 'not equal to' python symbol 'PyGTK' python setup.py egginfo Check the logs for full command output. python 3.x jupyter notebook NameError: name ‘GraphSegmentation’ is not defined. Y_train = np.utils.to_categorical(y_train, n_classes) Print ("Shape before one-hot encoding: ", y_train.shape) #one-hot encoding using keras' numpy-related utilities Each image has a 'degree' of darkness within the range of 0-255 so you need to reduce that range to 0-1 for your Neural Network X_train = X_train.astype('float32') #using a 32-bit precision when training the neural network. X_train = X_train.reshape (60000, 784) #flattening the image into 28x28 pixels, so into an array of 784.
#flattens the images from the 28x28 pixels to 1D 787 pixels The best approach would probably be to make most of your functions into class methods. You only define top in main, not at global scope, and even if it was at global scope, you defined it after makebutton default arguments in Python are evaluated once, at definition time, not looked up at call time. (X_train, y_train), (X_test, y_test) = mnist.load_data()įrom keras.models import Sequential #imports the sequential modelįrom keras.layers import Dense, Dropout, Conv2D, MaxPool2D Python: NameError: name top is not defined. I have tried to run the code below (not yet finished, I was testing it) when it comes up with an error (can be seen below the code). I am running a MNIST example in a Jupyter notebook running in an Anaconda virtual environment. For this example, we will also add a second argument to our function.
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