Course Overview
English, Filipino ∙ Self-paced (1 hr 28 mins)
About the Course
This course will teach you about deep learning and Artificial Intelligence (AI), how to understand its concepts and terms. You’ll hear about a variety of topics and concerns surrounding AI, including ethics and bias, as well as careers. It was intended to teach anyone, regardless of technical knowledge, the foundations of deep learning and AI.
Course Objective
- To learn about fundamental concepts in Deep Learning
- How basic DL algorithm works and use cases and sample projects
Course Outline
- Introduction
Overview on AL, common applications and basic terms
- DL Models
Unsupervised, supervised, and semi-supervised learning models
- Neural Networks
How deep learning is similar to the human brain perceives things
- Deep Layers
Input, hidden and output layers
- Optimization
Learning rate and data augmentation techniques
- Use Cases
Past and current deep learning projects
Target Participants
All interested individuals who want to learn more about deep learning and artificial intelligence (AI).
Certificate Requirements
- Completion of recorded webinar + quiz
- Pass the 10 item multiple choice with 80% mark
- Comment your feedback to the main page of the course
- https://asklexph.com/courses/the-deep-truth-introduction-to-deep-learning-and-ai/
Instructors
Salamat po sa learnings
With the birth of internet, there is continuous flow of data. It’s a great thing that deep learning was created to utilize these data for automatic deduction and optimal tuning. However, as promising as it sounds, ethical concerns should also be considered. Thank you, Sir Roberto and Ask Lex PH!
I learned that deep learning is a both science and art. And also the difference of the deep learning models which are the supervised, unsupervised, and the semi-supervised. Thank you.