Torrent details for "Embedded Electronics Bootcamp: From Bit to Deep Learning"    Log in to bookmark

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9.07 GB
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e885da535b1868829aed0efe293b2fe9c2bc891e
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28-08-2021 03:54
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Description

Hardware Technologies to be taught:

   FPGA
   Raspberry PI
   Arduino
   ESP32 (Node MCU)

Programming Languages to be taught:

   C
   Python
   VHDL

Communication and Cloud Technologies to be taught:

   UART
   SPI
   MQTT
   Node-Red
   Hivemq

Techniques to be taught:

   Combinational Logic Design
   Sequential Logic Design
   FSM
   Control Units
   Tinker CAD
   Digital and Analog Signals
   Interrupts
   Android Control
   Remote Control
   RTOS
   Semaphores
   Mutexes
   Sharing Resources
   Queues
   Parametrized Tasks
   Structures
   Linux
   Basics of Artificial Intelligence
   Neural Networks
   Deep Neural Networks
   CNN

No other E-learning content tried linking all digital sciences with embedded systems like we did.

Starting with FPGA and the VHDL hardware design programming language. specifically from the smallest signal which we call the bit, to building simplified calculation and registration units used in microcontrollers from scratch! And what I mean by scratch is, building it out of basic Logic gates and registers.

Then Moving to AVR uC and the famous Arduino, and building it up to run The famous Realtime operating system (RTOS) in order to run Multi-threading based application.

Then dialing it up a notch and introducing ESP boards to run IoT applications, establishing communication to Node-red, android devices and learning about remote access control.

Closing the whole thing by introducing raspberry pi and Linux. And building up with a basic Python introduction, Neural Networks, before building Embedded Deep learning image processing based models.

And all of that is hands on! No plain theory, no philosophical block of texts explaining useless concepts. Getting your hands dirty, is the my main drive here.
Who this course is for:

   Anyone who want to learn about Embedded Systems from Scratch
   Electronics Hobbyists
   Robotics Hobbyists
   Computer Engineers
   Electrical and Electronics Engineers

Requirements

   Windows Machine
   Node MCU
   Arduino
   Raspberry PI 3 or Higher

Last Updated 8/2021

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