Deep Learning for Vision with Caffe Training Course

Course Code

caffe

Duration

21 hours (usually 3 days including breaks)

Requirements

None

Overview

Caffe is a deep learning framework made with expression, speed, and modularity in mind.

This course explores the application of Caffe as a Deep learning framework for image recognition using MNIST as an example

Audience

This course is suitable for Deep Learning researchers and engineers interested in utilizing Caffe as a framework.

After completing this course, delegates will be able to:

  • understand Caffe’s structure and deployment mechanisms
  • carry out installation / production environment / architecture tasks and configuration
  • assess code quality, perform debugging, monitoring
  • implement advanced production like training models, implementing layers and logging

Course Outline

Installation

  • Docker
  • Ubuntu
  • RHEL / CentOS / Fedora installation
  • Windows

Caffe Overview

  • Nets, Layers, and Blobs: the anatomy of a Caffe model.
  • Forward / Backward: the essential computations of layered compositional models.
  • Loss: the task to be learned is defined by the loss.
  • Solver: the solver coordinates model optimization.
  • Layer Catalogue: the layer is the fundamental unit of modeling and computation – Caffe’s catalogue includes layers for state-of-the-art models.
  • Interfaces: command line, Python, and MATLAB Caffe.
  • Data: how to caffeinate data for model input.
  • Caffeinated Convolution: how Caffe computes convolutions.

New models and new code

  • Detection with Fast R-CNN
  • Sequences with LSTMs and Vision + Language with LRCN
  • Pixelwise prediction with FCNs
  • Framework design and future

Examples:

  • MNIST

 

 

Testimonials

★★★★★
★★★★★

Bookings, Prices and Enquiries

Private Classroom

From 6050EUR

Private Remote

From 5250EUR (14)

Public Classroom

Location Date Course Price [Remote/Classroom]
Ankara2018-12-03 09:30:005250EUR / 6050EUR
Istanbul, Taksim2018-12-18 09:30:005250EUR / 6050EUR
Antalya2018-12-19 09:30:005250EUR / 6050EUR
Ankara2019-01-30 09:30:005250EUR / 6050EUR
Antalya2019-02-12 09:30:005250EUR / 6050EUR
Istanbul, Taksim2019-03-05 09:30:005250EUR / 6050EUR
Ankara2019-04-01 09:30:005250EUR / 6050EUR
Antalya2019-04-10 09:30:005250EUR / 6050EUR
Istanbul, Taksim2019-04-30 09:30:005250EUR / 6050EUR
Ankara2019-05-22 09:30:005250EUR / 6050EUR
Antalya2019-06-05 09:30:005250EUR / 6050EUR
Cannot find a suitable date? Choose Your Course Date >>Too expensive? Suggest your price

Course Discounts

CourseVenueCourse DateCourse Price [Remote / Classroom]
jBPM for DevelopersOstravaMon, 2018-11-19 09:307875EUR / 9075EUR
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Introduction to RTampereTue, 2018-11-20 09:304725EUR / 5525EUR
Advanced LuaRiga, Old TownTue, 2018-11-20 09:302700EUR / 3300EUR
Business Process Modelling in BPMN 2.0Luxembourg, Place de la GareWed, 2018-11-21 09:304725EUR / 5525EUR
Statistical Thinking for Decision MakersHelsinki, PohjoisesplanadiWed, 2018-11-21 09:301575EUR / 1975EUR
Git for UsersLuxembourg, Place de la GareFri, 2018-11-23 09:301350EUR / 1750EUR
Ubuntu Server OverviewPrague, Prague CastleFri, 2018-11-23 09:301350EUR / 1750EUR
Advanced HaskellRiga, Old TownMon, 2018-11-26 09:302700EUR / 3300EUR
OCEB2 OMG Certified Expert in BPM - Business Intermediate Exam PreparationVantaaMon, 2018-11-26 09:304725EUR / 5525EUR
Neural Network in RRiga, Old TownMon, 2018-11-26 09:303150EUR / 3750EUR
Node.js for JavaScript DevelopersHelsinki, PohjoisesplanadiTue, 2018-11-27 09:304050EUR / 4850EUR
Big Data Analytics for Telecom RegulatorsKaunas, City CenterWed, 2018-11-28 09:304725EUR / 5325EUR
Enabling SOA with BPM and BPMNRiga, Old TownWed, 2018-11-28 09:302700EUR / 3300EUR
Neural Network in RLuxembourg, Place de la GareWed, 2018-11-28 09:303150EUR / 3750EUR

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