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Embedded Electronics Bootcamp: From Bit to Deep Learning - Panter - 21.08.2021 Embedded Electronics Bootcamp: From Bit to Deep Learning Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz Language: English | Size: 8.98 GB | Duration: 16h 18m Embedded Systems, IoT, RTOS, Deep Learning, Linux and Raspberry PI, ESP32, Arduino What you'll learn Hardware Design Using FPGA by Learning VHDL Raspberry Pi, Arduino and ESP32 Microcontroller Programming and Simulation Multi-Threading For Embedded Systems and RTOS IoT, Remote Control and Monitoring for Embedded Systems Linux Based Embedded Systems Python Deep Learning and Image Processing 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 Homepage Download from Rapidgator: |