Abstract: This paper investigates the application of Convolutional Neural Networks (CNNs) in MNIST handwritten digit recognition, with a particular focus on optimizing the ResNet-18 model. By ...
Abstract: Tremendous strides have been made in machine learning, one of the remaining open challenges is to achieve real-time speed as well as to maintain high performance, A convolutional neural ...
Hello, I am following the mnist tutorial but am unable to get ~99% accuracy even after 12 epochs. I am running the latest version of keras (2.0.7) with tensorflow ...
Deep learning, which is basically neural network machine learning with multiple hidden layers, is all the rage—both for problems that justify the complexity and high computational cost of deep ...
Google's open source framework for machine learning and neural networks is fast and flexible, rich in models, and easy to run on CPUs or GPUs What makes Google Google? Arguably it is machine ...
"In the [MNIST tutorial](https://github.com/caffe2/caffe2/blob/master/caffe2/python/tutorials/MNIST.ipynb) we use an lmdb database. You can also use leveldb or even ...
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