BasicDigitClassifier
Creates a neural network trained on the MNIST handwritten digits dataset to predict the digit drawn in a 28x28 image. The model achieves an accuracy of around 97% on the test set.
Using Tensorflow2.0 to create a neural network for the MNIST handwritten digits dataset
Python
Creates a neural network trained on the MNIST handwritten digits dataset to predict the digit drawn in a 28x28 image. The model achieves an accuracy of around 97% on the test set.