Neural network 썸네일형 리스트형 [PyTorch] Train PyTorch NN Train PyTorch NN¶ In this post, we will use PyTorch to classify MNIST Dataset and check how accurate the model is in test dataset. 1. Import libraries¶ In [1]: from __future__ import print_function import argparse import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim from torchvision import datasets, transforms from torch.optim.lr_scheduler import StepLR .. 더보기 04. Introduction to Neural Networks In Lecture 4 we progress from linear classifiers to fully-connected neural networks. We introduce the backpropagation algorithm for computing gradients and briefly discuss connections between artificial neural networks and biological neural networks. Keywords: Neural networks, computational graphs, backpropagation, activation functions, biological neurons slides Backpropagation Backprop is a rec.. 더보기 이전 1 다음