Convolutional Neural Networks

An intensive, hands-on training focused on Convolutional Neural Networks (CNNs).

Duration

16h · 2 days

Who it's for

Ideal for teams that…

1 This training is designed for developers, data scientists, machine learning engineers, and researchers who want to deepen their knowledge of CNNs and acquire practical skills in implementing and optimizing them.

Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

How to design and implement advanced CNN architectures

✓

Techniques for optimization and fine-tuning of convolutional models

✓

Practical use of transfer learning in computer vision tasks

✓

How to deploy and optimize CNN models in real-world projects

Requirements

What you should know before we start

Basic knowledge of Python
At least minimal experience with machine learning libraries (e.g., scikit-learn, TensorFlow, or PyTorch)
Basic knowledge of neural networks and machine learning
Ability to work in a Jupyter Notebook environment

Program

What we actually do

Day 1

· Basics of neural network architecture
· CNN architecture overview
· Comparison of CNNs vs. traditional neural networks
· Implementing convolutional layers in PyTorch
· Designing and optimizing pooling layers
· Creating a CNN model from scratch
· Analyzing the impact of different architectures on performance
· Using pretrained models
· Fine-tuning models on custom datasets

Day 2

· Implementing ResNet and Inception
· Comparative performance analysis of different architectures
· Regularization techniques: dropout, batch normalization
· Hyperparameter optimization strategies
· Implementing an image classification model
· Building an object detection system
· Performance optimization
· Integrating CNNs into real-time applications

Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.

How we work

From brief to retro in 30 days.

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief

✓First session within 30 days

✓Pilot before the full decision

✓VAT invoice, payment in instalments possible

Full name

Company

E-mail

Phone

Team size

What does the team need?

How we handle your data

We process your business data (name, work e-mail, phone number, company, job title) in order to handle your corporate training inquiry and prepare an offer. The data controller is infoShare Academy Sp. z o.o., Al. Grunwaldzka 472B, 80-309 Gdańsk. Providing the data is voluntary but necessary to receive a response. You have the right to access, rectify, erase or restrict the processing of your data and to object to it. Full information is available in our data processing notice.

Optional marketing consents I consent to being contacted for marketing purposes regarding the B2B training offer (e-mail, work phone number) from infoShare Academy Sp. z o.o..

The controller of your personal data is infoShare Academy sp. z o.o. The rules for processing personal data are set out in the Privacy Policy and the Data Processing Notice.

Other programs for teams

See all →