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verified publisher icon ayushoriginal
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This CNN-based model for recognition of hand written digits attains a validation accuracy of 99.2% after training for 12 epochs. Its trained on the MNIST dataset on Kaggle.

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Error on running train.py

`Using TensorFlow backend. train.py:41: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(filters=32, input_shape=(1, 28, 28..., padding="same", kernel_size=(5, 5))` model.add(Convolution2D(nb_filter=32,nb_row=5,nb_col=5,border_mode='same',input_shape=(1,28,28))) train.py:43: UserWarning: Update your `MaxPooling2D` call to the...

PR-Iyyer avatar PR-Iyyer

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I am relatively new to python and i am getting this error: Traceback (most recent call last): File "train.py", line 37, in (X_train,y_train),(X_val,y_val) = get_mnist_data() File "train.py", line 16, in...

ishnit avatar ishnit

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verified publisher icon ayushoriginal

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This CNN-based model for recognition of hand written digits attains a validation accuracy of 99.2% after training for 12 epochs. Its trained on the MNIST dataset on Kaggle.

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