English | Size: 3.27 GB
Genre: eLearning
Power up your Embedded projects with Artificial Intelligence in Python using TF Lite
What you’ll learn
Build your own AI Projects
Raspberry Pi 4 based Robot for Computer Vision
Neural Network to classify your Voice
Custom Convolution Network Creation
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
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Before buying take a look into this course GitHub repository
Who this course is for:
Developers
Electrical Engineers
Artificial Intelligence Enthusiasts
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