INTRODUCTION TO DEEP LEARNING
Darko Medin
Data Scientist and a Biostatistician. Developer of ML/AI models. Researcher in the fields of Biology and Clinical Research. Helping companies with Digital products, Artificial intelligence, Machine Learning.
The INTRODUCTION TO DEEP LEARNING tutorial.
Where to find? adatascience.com by navigating to the Data Science for AI or directly via this linkhttps://adatascience.com/introduction-to-deep-learning
What is covered in the tutorial :
Deep Learning Basics.
Here the segments such as neurons and neural networks are covered.
Deep Learning & Artificial Neural Networks
How do Machines Learn? This section is about the Training process and how it relates to weights, optimization and iterations. Backpropagation, Hierarchical learning and more...
Real World Deep Learning applications
This section is covering the Real World Deep Learning applications and uses in AI apps, Recommender systems, Healthcare, Finance, Image recognition and other fields.
Next steps!
Final section guides the reader trough thinking about the next steps in the Deep Learning path.
The introductory tutorial is about basic principles and uses cases of Deep Learning. No prerequisites required. The next in this series will be Python for Deep Learning 101.
A friendly platform in development for Deep Learning & AI - in case of interest for collaboration bioaiworks.com
by Darko Medin
Have a great day!