Please enable JavaScript.
Coggle requires JavaScript to display documents.
Online Course for Deep Learning (Content (Refresher-Videos (Math: Linear…
Online Course for Deep Learning
Target Audience
Only online or online and physical
Assumed previous knowledge
Content
Theoretical vs. Application oriented or both
Refresher-Videos
Math: Linear Algebra, Calculus, Probability Theory
Programming: Python, Matlab
Tools: Anaconda, Jupyter, Tensorflow, Keras
What types of Neural Networks
Decomposition of content to smaller concepts presented in 5-20 mins (maintain students' attention)
Depth of topic discussed
Learning Goals
Continue the course (maintain students' engagement)
Understanding of the underlying theory and Maths (Programming of perceptrons of NN)
Overview of Deep Learning (Idea, Application Fields and Making using existing Tools)
Communication and Support
Plattform for Q & A (Piazza)
one channel or answer Youtube comments?
Peer support (anonymous)
No need for live chat or mails
Making
physical classroom
switching between physical class room and Slides
Mics for students
online classroom
slides/ animations
Interactive quizzes
Scripting
Assignments (CNN)
Hello World Project (MNIST handwritten digit recognition problem)
MLP
Simple CNN
Complex CNN
Theme Project