DeepLearning4J for Image Recognition Training Course

In City Of London

Price on request

Description

  • Typology

    Course

  • Location

    City of london

Description

Deeplearning4j is an Open-Source Deep-Learning Software for Java and Scala on Hadoop and Spark.
Audience
This course is meant for engineers and developers seeking to utilize DeepLearning4J in their image recognition projects.

Facilities

Location

Starts

City Of London (London)
See map
Token House, 11-12 Tokenhouse Yard, EC2R 7AS

Starts

On request

Questions & Answers

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Subjects

  • Java
  • Networks
  • Network
  • Image
  • Network Training

Course programme

Getting Started

  • Quickstart: Running Examples and DL4J in Your Projects
  • Comprehensive Setup Guide

Convolutional Neural Networks

  • Convolutional Net Introduction
  • Images Are 4-D Tensors?
  • ConvNet Definition
  • How Convolutional Nets Work
  • Maxpooling/Downsampling
  • DL4J Code Sample
  • Other Resources

Datasets

  • Datasets and Machine Learning
  • Custom Datasets
  • CSV Data Uploads

Scaleout

  • Iterative Reduce Defined
  • Multiprocessor / Clustering
  • Running Worker Nodes

Advanced DL2J

  • Build Locally From Master
  • Use the Maven Build Tool
  • Vectorize Data With Canova
  • Build a Data Pipeline
  • Run Benchmarks
  • Configure DL4J in Ivy, Gradle, SBT etc
  • Find a DL4J Class or Method
  • Save and Load Models
  • Interpret Neural Net Output
  • Visualize Data with t-SNE
  • Swap CPUs for GPUs
  • Customize an Image Pipeline
  • Perform Regression With Neural Nets
  • Troubleshoot Training & Select Network Hyperparameters
  • Visualize, Monitor and Debug Network Learning
  • Speed Up Spark With Native Binaries
  • Build a Recommendation Engine With DL4J
  • Use Recurrent Networks in DL4J
  • Build Complex Network Architectures with Computation Graph
  • Train Networks using Early Stopping
  • Download Snapshots With Maven
  • Customize a Loss Function

DeepLearning4J for Image Recognition Training Course

Price on request