To wersja testowa nowego serwisu infoShare Academy — wyświetlane treści i oferta nie są wiążące ani kompletne

Data

Deep Learning - Introduction

Deep Learning is one of the essential parts of machine learning.

Duration
40h · 5 days
Ask about the program → See all
Who it's for

Ideal for teams that…

1 People starting their journey with Deep Learning or wishing to expand their Data Science knowledge
2 Programmers, data analysts, business analysts, marketers, designers, and anyone whose work can benefit from machine learning
Outcomes after the program

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

✓

The fundamentals of Deep Learning and neural networks

✓

Types of deep learning and its applications, hardware platforms, programming environments, and cloud usage

✓

Basics of TensorFlow: structure, data types, data operations, Gradient Tape, and SGD

✓

How to build artificial neural networks with tf.keras, understand theory and practical modeling

✓

Skills in building fully connected networks, evaluating model quality, and tuning models

✓

Advanced Deep Learning techniques: low-level network building, regularization, TensorBoard, parameter analysis, TensorFlow callbacks

✓

Saving and loading models for practical use

Program · 4 modules

What we actually do

M01
Introduction
  • · Types and possibilities of deep learning
  • · Hardware platforms and environments
  • · Cloud computing opportunities
  • · TensorFlow basics: Structure Data types Operations Gradient Tape Stochastic Gradient Descent (SGD)
M02
Artificial Neural Networks with tf.keras
  • · Theory and inspiration behind neurons and layers
  • · Flexibility of neural networks
  • · Types of neural network models
M03
Modeling
  • · Building fully connected networks in tf.keras
  • · Solving simple problems
  • · Evaluating model quality
  • · Model tuning
M04
Extension
  • · Low-level network building
  • · Regularization techniques
  • · TensorBoard
  • · Model parameter analysis
  • · TensorFlow callbacks
  • · Saving and loading models
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.

01

Brief & diagnosis

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

02

Program customization

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

03

Workshop

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

04

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

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

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 →
Data

Active Directory

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

16h · 2 days →
Data

AI SQL Developer

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

24h · 3 days →
Data

Amazon Redshift - Introductory Training

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

16h · 2 days →