Certificate ID:
527789
Authentication Code:
10160
Certified Person Name:
Jia Wei Wong
Trainer Name:
Simon Knuijver
Duration Days:
3
Duration Hours:
21
Course Name:
Deep Learning for Vision with Caffe
Course Date:
29 May 2017 09:00 to 31 May 2017 17:00
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
Certificate Sent:
Certificate Sent