Technologies / Artificial Intelligence

Advanced Deep Learning techniques with Keras and Python

Intensive hands-on training on advanced deep learning techniques using the Keras library in the Python environment. Participants will learn the architecture of deep neural networks and how to implement and optimize them. The workshop focuses on the practical aspects of creating and training deep learning models, with a special emphasis on the latest architectures and techniques.

Issues

Deep learning architectures
Optimization of hyperparameters
Transfer learning
Regularization of models
Convolutional Networks (CNN)
Recurrent networks (RNNs)
Mechanisms of attention
Generative models
Autoencoders
Sequence-to-sequence learning
Deployment of models
Performance monitoring

Benefits

The participant will be able to design and implement advanced neural network architectures using Keras and Python
The ability to optimize and tune deep learning models for specific applications
Will learn to effectively use transfer learning in practical projects
Will learn techniques for implementing and monitoring models in a production environment
Will be able to implement the latest neural network architectures
Will develop the ability to diagnose and troubleshoot deep learning models

Who is this training for?

Data Scientists working with neural networks

AI/ML developers developing deep learning models

Machine learning engineers

Artificial intelligence researchers

Data analysts looking to expand their skills

R&D specialists in the field of AI

Prerequisites

Basic knowledge of machine learning
Experience in Python programming
Knowledge of the basics of neural networks
Ability to work with numpy and pandas libraries

Training program

Mechanisms of attention and transformers
Transfer learning in practice

Optimization of models
Advanced regularization techniques
Techniques for initializing scales
Gradient optimization methods
Fine-tuning hyperparameters
Implementation of advanced models
Generative Networks (GANs)

LSTM and GRU recurrent networks
Sequence-to-sequence models

Optimizing model performance

Monitoring models
Update production 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

Who is the Advanced Deep Learning techniques with Keras and Python training for?

This training is designed for professionals looking to develop skills in advanced deep learning techniques with keras and python. Required level: advanced.

How long is the Advanced Deep Learning techniques with Keras and Python training?

The training lasts 2. Available in online or on-site format.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.