Fundamentals of Deep Learning

About this course

Your first full day of deep learning. You will train neural networks, work with common data types and architectures, improve accuracy with data augmentation, use pre-trained models and transfer learning, and leave ready to start your own project with a modern framework.

What you'll learn

• Learn the fundamental techniques and tools required to train a deep learning model
• Gain experience with common deep learning data types and model architectures
• Enhance datasets through data augmentation to improve model accuracy
• Leverage transfer learning between models to achieve efficient results with less data and computation
• Build confidence to take on your own project with a modern deep learning framework

Curriculum

Who it's for

Developers and analysts new to deep learning who know basic Python.

Before you start

• An understanding of fundamental programming concepts in Python 3, such as functions, loops, dictionaries, and arrays; familiarity with Pandas data structures; and an understanding of how to compute a regression line.

Part of these Alalamia diplomas

• Alalamia Diploma in Artificial Intelligence