MNIST is a database of handwritten digits collected by Yann Lecun, a famous computer scientist, when he was working at AT&T-Bell Labs on the problem of automation of check readings for banks. The data set is a benchmark widely used in machine learning research. Due to its small size it is also widely used for educational purposes.s based on C++ but provides APIs for Python and Matlab.
Questions tagged [mnist]
91 questions
11
votes
1 answer
Effect of NOT changing filter weights of CNN during backprop
What is the effect of NOT changing filter weights of a CNN during backpropagation? I changed only the fully connected layer weights while training on the MNIST dataset and still achieved almost 99 percent accuracy.
Abhisek Dash
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7
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3 answers
0.1 accuracy on MNIST fashion dataset following official Tensorflow/Keras tutorial
My goal is to classify products pictures into categories such as dress, sandals, etc.
I am using the MNIST fashion dataset, following this official tutorial word-per-word: https://www.tensorflow.org/tutorials/keras/basic_classification so my code is…
Nicolas Raoul
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7
votes
3 answers
Are CNNs insensitive to rotations and shifts in images?
Can CNNs predict well if they are trained on canonical-like images but tested on a version of images that are little bit shifted?
I tried it using mnist dataset and found the contrary. The accuracy of the test set that was shifted was very low as…
Boris
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6
votes
3 answers
How mean and deviation come out with MNIST dataset?
I am a novice at the data science, and I notice some repository state the mean value and deviation in MNIST dataset are 0.1307 and 0.3081.
I cannot imagine how these two numbers come from. Based on my understanding, the MNIST dataset has 60,000 pics…
rj487
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6
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3 answers
MNIST Digit dataset requires login
I want to download the MNIST handwritten digit data from the offical site: https://yann.lecun.com/exdb/mnist/
But it wants me to enter a username and a password. How can I download the data? Does anybody know the credentials or any backup?
Thank…
Jakob
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5
votes
1 answer
How to use MNIST dataset to make predictions on similar images (colorblindness charts)?
I am trying to use the MNIST dataset to train a convolutional neural network to classify digits written in colorblindness charts. As some people have suggested, I have tried playing with the brightness and contrast, as well as converting to…
shurup
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5
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2 answers
How long does it typically take to train a MNIST data on a Mac Pro?
My code is below:
# define a simple CNN model
def baseline_model():
# create model
model = Sequential()
model.add(Conv2D(30, (5, 5), input_shape=(1, 28, 28), activation='relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
…
user697911
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5
votes
4 answers
Too low accuracy on MNIST dataset using a neural network
I am beginning with deep learning. This is an implementation of a simple neural network with just 1 hidden layer on MNIST dataset. Why is it that the loss doesn't change at all after any epoch? It clearly means that it is not learning at all. The…
subtleseeker
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5
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1 answer
GAN discriminator converging to one output
I am running a GAN on the MNIST dataset. As the GAN continues to train, the quality of the generator seems to get worse, and it even seems as if it is starting to converge to just one value.
Epoch 7:
Epoch 21:
Why is this happening? I am running…
Primusa
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5
votes
4 answers
What is the state-of-the art ANN architecture for MNIST?
What is actually the best neural network architecture for the classic MNIST digit classifying task? I couldn't find any that would claim to be the winner...
Hendrik
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5
votes
1 answer
Why not use more than 3 hidden layers for MNIST classification?
Many works use 2-hidden-layer neural networks for classifying MNIST handwritten digits sets.
To improve accuracy, other techniques (dropout, ReLU.. etc) have been used without increasing the number of hidden layers.
Is there any reason not to use…
S.Lim
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5
votes
0 answers
Model misclassifies digits from MNIST dataset after trained it on Digits dataset
I am training a machine learning model to classify digits in order to detect and solve a Sudoku puzzle. Here’s the approach I followed:
This is the pipeline I am following:
Classifier training: I trained a k-nearest neighbor classifier on annotated…
tail
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4
votes
1 answer
How to make an MNIST classifier work with blank images?
I am trying to make a Sudoku solver and for the image recognition I trained a CNN but the problem that I am facing is that I don't know how to make it see a clear distinction between numbers and blank images.
(My neural network is trained for MNIST…
Ankit Chawla
- 157
- 6
4
votes
2 answers
DC GAN with Batch Normalization not working
I'm trying to implement DC GAN as they have described in the paper. Specifically, they mention the below points
Use strided convolutions instead of pooling or upsampling layers.
Use only one fully connected layer
Use Batch Normalization: Directly…
Nagabhushan S N
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4
votes
2 answers
Pre-trained CNN for one-shot learning
I'm currently trying to learn one-shot learning using convolutional neural networks. According to this video, the CNN that I use should have been pre-trained on the MNIST. Why must the CNN be pre-trained??
sabrinazuraimi
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