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Look inside
EKKo Inc., a machine learning consultancy, is working on an embedded system to enable deaf or hard of hearing people to participate in online meetings and events on their mobile devices. Your task as a data scientist is to optimize this system. Using the model optimization toolkit for TensorFlow, you’ll train a CNN model with an existing American Sign Language (ASL) dataset and convert it to TFLite format to reduce the code footprint. You’ll optimize it further using quantization, drastically reducing size and CPU consumption while maintaining model accuracy. Using batch normalization to decrease the number of training cycles, you’ll significantly speed up the CNN model’s training process. Lastly, you’ll integrate the quantization changes you’ve made by compiling and training the CNN model. When you’re finished, you’ll have a fully functional quantized CNN that can be run successfully on an embedded device.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
book resources
When you start your liveProject, you get full access to the following books for 90 days.
prerequisites
The liveProject is for intermediate Python programmers who know the basics of data science. To begin these liveProjects you’ll need to be familiar with the following:
TOOLS- Raspberry Pi/edge computer
- Ubuntu Desktop 18.04 +
- Intermediate Python
- Basic Jupyter Notebook
- Intermediate NumPy
- Intermediate TensorFlow
- Conda/pip virtual environment setup skills
- Basic data science
- Understand logistic regressions and classification
- Load data on a neural network
- Train a neural network
- Assess a CNN model
- Basics of linear algebra (vectors, spaces, matrix transformations)
you will learn
In this liveProject, you’ll learn skills and techniques for building a fully functional CNN that’s optimized for size, speed, and accuracy, and can be run successfully on an embedded device.
- Post-training quantization using tf-dataset
- Quantization awareness training and JIT
- Batch normalization for quantized model
features
- Self-paced
- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
- While within the liveProject platform, get help from other participants and our expert mentors.
- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- book resources
- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
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pro
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Train on Microcontroller Devices project for free
Train on Microcontroller Devices project for free
team
monthly
annual
$49.99
$499.99
only $41.67 per month
- five seats for your team
- access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
- choose another free product every time you renew
- choose twelve free products per year
- exclusive 50% discount on all purchases
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Train on Microcontroller Devices project for free
