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Introduction to Deep Learning Using Kaggle

INSTRUCTORThomhert Suprapto Siadari, Ph.D.Deep learning and visual AI researcher · Koderea Talks

DURATION: 1 hr 50 min
CERTIFICATE: Eligible on completion

Recorded course · PUBLISHED · FREE

Academy information

A Koderea Talks recording that introduces deep-learning foundations and shows how Kaggle can support hands-on datasets, notebooks, and experimentation.

With Thomhert Suprapto Siadari, Ph.D.

Duration: 1 hr 50 min
Structure: 1 module · 1 lesson
Certificate: Eligible on completion

Course outcomesWhat you will learn

Distinguish artificial intelligence, machine learning, and deep learning.
Explain how neural networks and data support modern deep-learning systems.
Map a basic machine-learning workflow from data preparation to evaluation.
Use Kaggle datasets, notebooks, and competitions as structured practice environments.
Identify practical next steps for beginning a deep-learning experiment.

Access terms

Active enrollment retains access while Koderea operates the platform and maintains this course. Any operational retirement is shown in My Learning with a support path.

Who you will learn withInstructor

Thomhert Suprapto Siadari, Ph.D.

Deep learning and visual AI researcher · Koderea Talks

Thomhert Suprapto Siadari is a telecommunications engineering alumnus whose work spans deep learning, visual understanding, signal processing, and applied artificial intelligence. In this Koderea Talks archive he introduces deep-learning foundations and practical experimentation with Kaggle.

Introduction to Deep Learning Using Kaggle

Academy information

Thomhert Suprapto Siadari, Ph.D.

Koderea Talks Recording