Ideal for teams that…
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
What we actually do
- · Types and possibilities of deep learning
- · Hardware platforms and environments
- · Cloud computing opportunities
- · Structure
- · Data types
- · Operations
- · Gradient Tape
- · Stochastic Gradient Descent (SGD)
- · Solving simple problems
- · Evaluating model quality
- · Model tuning
- · Low-level network building
- · Regularization techniques
- · TensorBoard
- · Model parameter analysis
- · TensorFlow callbacks
- · Saving and loading models
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.
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.
Thank you!
We'll get back to you within 1 business day.
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