Torch: Getting started with Machine and Deep Learning Training Course

Nobleprog Limited

Course

In City Of London

Price on request

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Description

  • Type

    Course

  • Location

    City of london

Torch is an open source machine learning library and a scientific computing framework based on the Lua programming language. It provides a development environment for numerics, machine learning, and computer vision, with a particular emphasis on deep learning and convolutional nets. It is one of the fastest and most flexible frameworks for Machine and Deep Learning and is used by companies such as Facebook, Google, Twitter, NVIDIA, AMD, Intel, and many others.
In this course we cover the principles of Torch, its unique features, and how it can be applied in real-world applications. We step through numerous hands-on exercises all throughout, demonstrating and practicing the concepts learned.
By the end of the course, participants will have a thorough understanding of Torch's underlying features and capabilities as well as its role and contribution within the AI space compared to other frameworks and libraries. Participants will have also received the necessary practice to implement Torch in their own projects.
Audience
Software developers and programmers wishing to enable Machine and Deep Learning within their applications
Format of the course
Overview of Machine and Deep Learning
In-class coding and integration exercises
Test questions sprinkled along the way to check understanding

Facilities

Location

Start date

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

Start date

On request

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Subjects

  • Image

Course programme

Introduction to Torch
Like NumPy but with CPU and GPU implementation
Torch's usage in machine learning, computer vision, signal processing, parallel processing, image, video, audio and networking

Installing Torch
Linux, Windows, Mac
Bitmapi and Docker

Installing Torch packages
Using the LuaRocks package manager

Choosing an IDE for Torch
ZeroBrane Studio
Eclipse plugin for Lua

Working with the Lua scripting language and LuaJIT
Lua's integration with C/C++
Lua syntax: datatypes, loops and conditionals, functions, functions, tables, and file i/o.
Object orientation and serialization in Torch
Coding exercise

Loading a dataset in Torch
MNIST
CIFAR-10, CIFAR-100
Imagenet

Machine Learning in Torch
Deep Learning
Manual feature extraction vs convolutional networks
Supervised and Unsupervised Learning
Building a neural network with Torch
N-dimensional arrays

Image analysis with Torch
Image package
The Tensor library

Working with the REPL interpreter

Working with databases

Networking and Torch

GPU support in Torch

Integrating Torch
C, Python, and others

Embedding Torch
iOS and Android

Other frameworks and libraries
Facebook's optimized deep-learning modules and containers

Creating your own package

Testing and debugging

Releasing your application

The future of AI and Torch

See related categories

Torch: Getting started with Machine and Deep Learning Training Course

Price on request

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