xdralex

Deep Learning

concepts

• forward and backward propagation
• vanishing gradient
• image convolution operation
• feature map, filter/kernel
• receptive field
• embedding
• translation invariance

xdralex

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xdralex

package kstreams_demo

import java.lang.{Integer => JInt}
import java.util.Properties

import kstreams_demo.converters._
import org.apache.kafka.clients.consumer.{ConsumerConfig, ConsumerRecord}
import org.apache.kafka.common.serialization.Serdes
import org.apache.kafka.streams.kstream._
import org.apache.kafka.streams.kstream.internals.TimeWindow

xdralex

Conditions

Two Storm supervisors running in a 3-node configuration: one "head" node (nimbus) and two worker nodes. Each supervisor node runs a supervisor under supervision.

Topology

Multi-lang topology using Python and our streamparse library. Works fine when running on a single machine. Spout reads off Kafka and inserts tuples into