THE DEEP TRUTH: Introduction to Deep Learning and AI
RR
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/
The presentation covered important aspects of real estate project management like sustainability, team structures, and key skills. Engineer Patrick Reynoso shared useful insights for aspiring professionals. Initial technical issues hampered screen sharing. Overall, it was informative and beneficial.
This talk is about deep learning, a part of artificial intelligence. It covers basic concepts, applications, and projects without getting into complicated technical stuff. The speaker discusses supervised and unsupervised learning, neural networks, and practical uses like medical image recognition. No programming or hard math is involved, making it easy for students to understand. The speaker's personal projects show how deep learning can be applied in real-life situations.
Comprehensive Introduction of Deep Learning and AI with sample case studies but the technical terms were defined where students without IT background were able to digest.
It's good that I have the opportunity to learn from the speaker. Their insights on deep learning AI and its practical applications and classifications have provided valuable knowledge to the viewers, offering deep insights into this field.
The course was well-structured and paced, making complex concepts accessible to beginners like me.
CY
JP
BV