Deep learning using Tensorflow Lite on Raspberry Pi

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Nome:	Deep learning using Tensorflow Lite on Raspberry Pi
Descrizione: 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 Video:
Categoria:	Tutorials
Lingua:	English
Dimensione totale:	3.29 GB
Info Hash:	65836B57FDE0DF3BB21D6DC5DF238BAA79CD1C1D
Aggiunto di:	tutsnode
Data di aggiunta:	2022-09-18 10:11:23
Stato torrent:	Torrent Verified

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TutsNode.net.txt	63.00 B
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[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/1. Non Linear Trigonometric Functions Approximation/1. a.mp4	116.38 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/1. Non Linear Trigonometric Functions Approximation/2. b.mp4	118.71 MB
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[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/5. e.mp4	104.02 MB
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[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/2. Visual Calculator/9. i.mp4	84.66 MB
[TutsNode.net] - Deep learning using Tensorflow Lite on Raspberry Pi/3. Audio Led Controlling/1. Resources for installations..html	331.00 B

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Deep learning using Tensorflow Lite on Raspberry Pi