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ansices |
Ansi C for Embedded Systems |
14 hours |
C programming with a focus on how to use it for Embedded System Developments.
C Basic data types
Integer types
Floating point types
Pointers (pointer arithmetic, pointer derefencing)
Arrays
The relationship between arrays and pointers
Enums
Programming constructs
if - else statements
switch statements
while loops and do - while loops
for loops
goto statements
Functions in C
Function prototypes
Understanding C's call by value mechanism for passing arguments
Implementing functions
Calling functions
Using pointers to pass values by reference
Passing arrays to functions
Understanding C's return value mechanism
Using pointers to return values by reference
Data Structures
Defining data structures
Accessing and manipulating the elements of a data structure
Pointers to data structures
The arrow (->) operator
Using a pointer to traverse an array of data structures
Advanced topics
Pointers to pointers
Function pointers
Const and static keywords - their meanings and uses
Casts and casting Using void * pointers
Data structures containing pointers to data structures
Data structures containing function pointers
Function pointers and table driven programming
Bit fields in data structures
Unions
Using arrays to implement circular buffers and stacks
Modules as data structures and interfaces
Dynamic data structures and their uses
Singly linked lists
Doubly linked lists
Overview of the C standard library
putc, putchar, getc, getchar
printf, scanf
String manipulation functions ( strcpy, strcat, ... ) Embedded System Oriented Topics
Setting up port addresses
Defining bit oriented data structures
Compiler specific features
#pragmas
Non ANSII C extensions
Accessing and manipulating special function registers
Implementing interrupt handlers
Calling assembly code from C
Calling C from assembly code
Linkers and linker scripts
Understanding target peripheral device libraries and their uses
Implementing your own device libraries
Timers and their uses
Hardware timers
Software timers
Basics of event driven programming
Port I/O - flashing LEDs
Software delays
Keypad scanning
Basic RS232
Basic data acquisition and sensor interfacing
Working with EEPROM (on chip and SPI/I2C)
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Torch |
Torch: Getting started with Machine and Deep Learning |
21 hours |
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
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 |
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advancedcsharp |
Advanced Programming in C# |
35 hours |
C# is an efficient, object-oriented language for developing applications on the Microsoft .NET platform. This course introduces advanced features of C#, examines its usage as both a desktop application programming language and a web programming language for solving real-world problems.
Programming techniques and principals are demonstrated and practiced through in-class hands-on exercises and walk-throughs.
Audience
Developers / programmers
Format of the course
C# advanced principles are discussed as participants step through the creation of a real-world application.
Introduction to advanced programming in C# and .NET
Working with Visual Studio
Windows Forms programming
Multithreading in C#
Handling graphics with GDI+
Attributes, exception handlers and event logging
Fetching type information with Reflection
Dynamic Types
Accessing the file system
Working with Streams, Threads, and Tasks
Asynchronous programming with async and await
Implementing roles-based and code access security
Debugging and compiling your application
C# for creating ASP.NET web applications
Web methods, Web services, and asynchronous Web services
Deploying your application
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