一系列常用模型的Keras实现
Multilayer Perceptron (MLP) for multi-class softmax classification
from keras.models import Sequential
# Docker networking is messy and undocumented. Docker will create IP addresses and iptables at random times. | |
# This can be limited by using totally static IP addresses for network interfaces and avoiding the default network bridge. | |
# /etc/default/docker | |
# DOCKER_OPTS="--iptables=false --ipv6 --bip 172.16.0.1/16 --fixed-cidr 172.16.0.0/16 --fixed-cidr-v6 2a01:9000::/68" | |
# --bip is the host IP address of the docker0 interface | |
# --fixed-cidr is the CIDR subnet allocated to the docker0 interface (default network bridge) | |
# --fixed-cidr-v6 is the IPv6 CIDR allocated to docker0 | |
# for IPv6 split your /64 delegated subnet into /68 subnets and allocate them to each docker-compose.yml subnet: |
import org.bson.BsonBinaryReader; | |
import org.bson.BsonBinaryWriter; | |
import org.bson.Document; | |
import org.bson.codecs.Codec; | |
import org.bson.codecs.DecoderContext; | |
import org.bson.codecs.DocumentCodec; | |
import org.bson.codecs.EncoderContext; | |
import org.bson.io.BasicOutputBuffer; | |
import java.nio.ByteBuffer; |