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Deep learning using Tensorflow Lite on Raspberry Pi

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名前:Deep learning using Tensorflow Lite on Raspberry Pi
_DESCRIPTION_:

Description

Course Workflow:

This course is focused on Embedded Deep learning in Python . Raspberry PI 4 is utilized as a main hardware and we will be building practical projects with custom data .

We will start with trigonometric functions approximation . In which we will generate random data and produce a model for Sin function approximation

Next is a calculator that takes images as input and builds up an equation and produces a result .This Computer vision based project is going to be using convolution network architecture for Categorical classification

Another amazing project is focused on convolution network but the data is custom voice recordings . We will involve a little bit of electronics to show the output by controlling our multiple LEDs using own voice .

Unique learning point in this course is Post Quantization applied on Tensor flow models trained on Google Colab . Reducing size of models to 3 times and increasing inferencing speed up to 0.03 sec per input .

Sections  :

   Non-Linear Function Approximation
   Visual Calculator
   Custom Voice Controlled Led

Outcomes After this Course : You can create

   Deep Learning Projects on Embedded Hardware
   Convert your models into Tensorflow Lite models
   Speed up Inferencing on embedded devices
   Post Quantization
   Custom Data for Ai Projects
   Hardware Optimized Neural Networks
   Computer Vision projects with OPENCV
   Deep Neural Networks with fast inferencing Speed

Hardware Requirements

   Raspberry PI 4
   12V Power Bank
   2 LEDs ( Red and Green )
   Jumper Wires
   Bread Board
   Raspberry PI Camera V2
   RPI 4 Fan
   3D printed Parts

Software Requirements

   Python3
   Motivated mind for a huge programming Project
   Before buying take a look into this course GitHub repository

Who this course is for:

   Developers
   Electrical Engineers
   Artificial Intelligence Enthusiasts

Requirements

   Basic Electronics Understanding
   Basic Python Programming
   Hardware : Raspberry pi 4
   Hardware : 12V Power Bank
   Hardware : Raspberry PI Camera V2
   Hardware : 2 LEDs ( Red and Green )
   Hardware : Bread Board
   Hardware : RPI 4 Fan
   Hardware : 3D printed Parts
   Hardware : Jumper Wires

Last Updated 9/2022
YouTube動画:
カテゴリ:Tutorials
言語:English  English
合計サイズ:3.29 GB
情報のハッシュ:65836B57FDE0DF3BB21D6DC5DF238BAA79CD1C1D
を追加することによって:tutsnode Verified UploaderVIP
追加日:2022-09-18 10:11:23
トレントステータス:Torrent Verified


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