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Showing posts with the label Mnist
High Training Accuracy But Low Prediction Performance For Tensorflow's Official Mnist Model

High Training Accuracy But Low Prediction Performance For Tensorflow's Official Mnist Model

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I'm new to machine learning and I was following along with the Tensorflow official MNIST model … Read more High Training Accuracy But Low Prediction Performance For Tensorflow's Official Mnist Model
How To Get The Value From Each Output-node During Eval Mnist Testdata In Tensorflow?

How To Get The Value From Each Output-node During Eval Mnist Testdata In Tensorflow?

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I train a convolutional neural network (CNN) with TensorFlow. When the training is finished I calcu… Read more How To Get The Value From Each Output-node During Eval Mnist Testdata In Tensorflow?
Is It Possible To Use Vector Methods To Shift Images Stored In A Numpy Ndarray For Data Augmentation?

Is It Possible To Use Vector Methods To Shift Images Stored In A Numpy Ndarray For Data Augmentation?

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Background: This is one of the exercise problems in the text book Hands on Machine Learning by Aure… Read more Is It Possible To Use Vector Methods To Shift Images Stored In A Numpy Ndarray For Data Augmentation?
Should I Use Softmax As Output When Using Cross Entropy Loss In Pytorch?

Should I Use Softmax As Output When Using Cross Entropy Loss In Pytorch?

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I have a problem with classifying fully connected deep neural net with 2 hidden layers for MNIST da… Read more Should I Use Softmax As Output When Using Cross Entropy Loss In Pytorch?