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Technologies / Artificial Intelligence

Auto-Keras - automatic machine learning

The training introduces participants to the world of Auto-Keras, an advanced automatic machine learning tool based on the Keras library. During the hands-on workshop, participants will learn the process of automating the design and training of neural networks. The program focuses on the practical application of Auto-Keras in real projects, with an emphasis on the implementation and optimization of deep learning models.

Issues

  • Architecture and operating principles of Auto-Keras

  • Automatic design of neural networks

  • Hyperparameter optimization strategies

  • Data preprocessing techniques

  • Transfer learning at Auto-Keras

  • Methods of regularization

  • Implementation of production models

  • Monitoring and updating models

  • Integration with the Keras ecosystem

  • Best practices in deep learning projects

  • Debugging and troubleshooting

  • Use cases in real projects

Benefits

  • The participant will acquire practical knowledge of using Auto-Keras in deep learning projects
  • Will develop the ability to effectively design and train neural networks using automation
  • Will learn advanced techniques for optimizing neural network architectures
  • Will gain knowledge of learning transfer methods and their application in practice
  • Will be able to implement and monitor deep learning models in a production environment
  • Will learn to identify situations where Auto-Keras can bring the greatest benefit

Who is this training for?

Python programmers interested in deep learning
ML engineers working with neural networks
Data science professionals looking to automate DL processes
Researchers and scientists working with deep learning models
AI solution architects
AI application developers
Data analysts looking to expand their expertise with deep learning

Prerequisites

  • Knowledge of basic programming in Python
  • Basic knowledge of machine learning
  • Understand the concept of neural networks
  • Experience in working with data

Training program

01

Auto-Keras architecture and philosophy

  • Integration with the Keras ecosystem
  • Configuring the environment
  • Overview of available functionality
  • Preparation of data and models
  • Data structures in Auto-Keras
  • Data preprocessing and augmentation
02

Defining learning tasks

  • Configuration of search parameters
03

Automatic network design

  • Architectural search strategies
  • Optimization of hyperparameters
  • Learning transfer mechanisms
04

Regularization techniques

  • Implementation and maintenance
  • Export models to production format
  • Integration with existing systems
05

Performance monitoring

  • Strategies for updating models

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Auto-Keras - automatic machine learning we recommend: Knowledge of basic programming in Python; Basic knowledge of machine learning; Understand the concept of neural networks.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Python programmers interested in deep learning; ML engineers working with neural networks; Data science professionals looking to automate DL processes.

What practical skills will I gain from this training?

You will acquire practical knowledge of using Auto-Keras in deep learning projects, develop the ability to design and train neural networks using automation, learn advanced neural architecture optimization techniques, and implement and monitor deep learning models in production.

What topics does the program cover?

The program covers Auto-Keras basics, automated neural architecture search, neural network training automation, transfer learning methods and their practical applications, and production deployment and monitoring of deep learning models.

Do I receive a certificate after completing this training?

Yes, upon successful completion you receive an EITT certificate confirming your skills in Auto-Keras and automatic machine learning. The certificate is recognized by employers in the IT industry.

Anna Polak
Anna Polak Opiekun szkolenia

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