Classic Networks
LeNet-5: LeCun et al, "Gradient-Based Learning Applied to Document Recognition": http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf
AlexNet: Krizhevsky et al, "ImageNet Classification with Deep Convolutional Neural Networks": https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf
VGG-16: Simonyan et al, "Very Deep Convolutional Networks for Large-Scale Image Recognition": https://arxiv.org/pdf/1409.1556.pdf
Resnets
| from __future__ import print_function # Python 2/3 compatibility | |
| import boto3 | |
| import json | |
| import decimal | |
| from boto3.dynamodb.conditions import Key, Attr | |
| # Helper class to convert a DynamoDB item to JSON. | |
| class DecimalEncoder(json.JSONEncoder): | |
| def default(self, o): | |
| if isinstance(o, decimal.Decimal): |
| # "Understanding Python's closures". | |
| # | |
| # Tested in Python 3.1.2 | |
| # | |
| # General points: | |
| # | |
| # 1. Closured lexical environments are stored | |
| # in the property __closure__ of a function | |
| # | |
| # 2. If a function does not use free variables |
