A PyTorch implementation of Model Agnostic Meta-Learning (MAML). We faithfully reproduce the official Tensorflow implementation while incorporating a number of additional features that may ease ...
Machine Learning Practical - Coursework 2: Analysing problems with the VGG deep neural network architectures (with 8 and 38 hidden layers) on the CIFAR100 dataset by monitoring gradient flow during ...
A multi-class classification problem is one where the goal is to predict a discrete value where there are three or more possibilities. For example, you might want to predict the political leaning ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results