I am trying to train a Deep Neural Network using MNIST data set. BATCH_SIZE = 100 train_data = train_data.batch(BATCH_SIZE) validation_data = validation_data.b
I'm new to torch and c++ i want to create a basic simple network that does hand digit recognition this is my Net struct. struct Net:torch::nn::Module { Net(
I'm trying to download the MNIST data which is supposedly handled in: tensorflow.examples.tutorials.mnist.input_data.read_data_sets() As far as I'm aware read_d
The code for Mohammad Nauman's excellent book shows this (for Julia 1.5.3): using Flux, Statistics using Flux.Data.MNIST using Flux: onehotbatch Which fails u
I'm trying to follow this C++ PyTorch example but I need to load the MNIST dataset with its standard values, between 0 and 255. I removed the application of the
I have seen this question and the answer. This doesn't help. I have MAC environment. Used Anaconda. And there is no .Keras folder under users directory. I was