I have an AWS EC2 c4.2xlarge instance with Deep Learning Ubuntu AMI. When using the built-in environment mxnet_p36 and running the MNIST example here (https://github.com/awslabs/keras-apache-mxnet/blob/master/examples/mnist_cnn.py), I see no improvement in accuracy beyond 10% after several epochs. Switching to the tensorflow_p36 environment and running the same script obtains 70%+ over an epoch. I also tried installing mxnet-mkl and upgrading keras-mxnet. Please let me know of any ideas for this issue.
I have an AWS EC2 c4.2xlarge instance with Deep Learning Ubuntu AMI. When using the built-in environment mxnet_p36 and running the MNIST example here (https://github.com/awslabs/keras-apache-mxnet/blob/master/examples/mnist_cnn.py), I see no improvement in accuracy beyond 10% after several epochs. Switching to the tensorflow_p36 environment and running the same script obtains 70%+ over an epoch. I also tried installing mxnet-mkl and upgrading keras-mxnet. Please let me know of any ideas for this issue.