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- access to all Manning books, including MEAPs!
team
5, 10 or 20 seats+ for your team - learn more
Look inside
You’re a data scientist at EKKo Inc., a machine learning consultancy that’s working on an embedded system to help deaf or hard of hearing people participate in online meetings and events on their mobile devices. To help the system recognize the hand gestures that represent the letters in American Sign Language (ASL), your task is to classify them using a convolutional neural network (CNN), an algorithm widely used for image processing applications.
You’ll write a Python script that preprocesses the ASL dataset, ensuring the model can interpret it. Using TensorFlow, a popular choice for such tasks, you’ll create and configure the CNN model. You’ll train the model and improve its performance by adding regularization to avoid overfitting, fine-tuning the learning rate (LR) to increase training speed, and introducing callbacks to monitor the training process. When you’re done, you’ll have firsthand experience using TensorFlow tools to configure various CNN hyperparameters, train a CNN onto an embedded board, and generate predictions from the CNN.
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
- Basics of 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 to use TensorFlow tools to configure various CNN hyperparameters, train a CNN onto an embedded board, and generate predictions from the CNN.
- Basic machine learning concepts
- Basics of edge computing systems like Raspberry Pi and hardware integration
- Techniques to understand preprocessing of datasets, ML model development, training, optimization, deployment, and validation techniques
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.
choose your plan
pro
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$249.99
only $20.83 per month
- 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 a CNN project for free
Train a CNN 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
-
![]()
Train a CNN project for free
