Learning Deep Learning at Home
Or Learning in the time of Coronavirus
After multiple online meetings and virtual conversations, I’ve learned there are many ways people are dealing with suddenly working from home. My unproven theory is people fall somewhere on this spectrum:
I would categorize a really low desire as, “I don’t want to start anything new, let’s just try to get through this.” And a really high desire as, “I have more free time than I used to, I should learn something new!”
My personal weekly journey looks something like this:
If and when you are looking to learn new things, I’ve compiled a list of deep learning resources. Below is a range of deep learning resources that can take anywhere from 5 minutes to 3 hours depending on what you're looking for. I've compiled blog posts, examples, videos and full courses (all free) and categorized into different groupings I thought made sense.
Deep Learning Resources
**Deep Beer Designer is most popular post of all time
Training and Learning Material (Beginner to Advanced)
For those looking for an even deeper dive there is instructor-led and self-paced training available for machine and deep learning.
Interesting tutorials in documentation
Interesting Examples
We normally use pictures in documentation taken by people working at the company, so now I’m on a mission to figure out whose dog this is.
List of Selected Blog Posts |
||
Blog Post Title | Author | Link |
Scene Classification Using Deep Learning | Guest Post: Oge Marques, Florida Atlantic University | link to post |
Deep Learning Examples from 19b | Johanna Pingel | link to post |
Deep Beer Designer** | Ieuan Evans, MathWorks Documentation | link to post |
Cam Visualizations | Johanna Pingel | link to post |
Deep Learning for Signal Processing | Frantz Bouchereau, MathWorks Development | link to post |
Neural Network Feature Visualization | Maria Duarte Rosa, MathWorks Advanced Support | link to post |
Introduction Get started with MATLAB and Deep Learning in less than 60 minutes | ||||
Category | Title | Duration | Type | Link |
Phase 1: Technical Computing | Getting Started with MATLAB | 7 minutes | Video | Link |
Phase 1: Technical Computing | Working in the Development Environment | 6 minutes | Video | Link |
Phase 1: Technical Computing | Analyzing and Visualizing Data with MATLAB | 4 minutes | Video | Link |
Phase 2: Deep Learning | Deep Learning Introduction | 12 minutes | Video | Link |
Phase 2: Deep Learning | Deep Learning in 11 Lines of MATLAB Code | 3 minutes | Video | Link |
Phase 2: Deep Learning | Getting Started with Deep Learning Tutorial | 18 minutes | Video | Link |
Phase 1: Technical Computing | Live Editor Cheatsheet | -- | Cheatsheet | Link |
Phase 2: Deep Learning | Deep Learning Cheatsheet | -- | Cheatsheet | Link |
Hands-on training Get started with MATLAB and Deep Learning with these free hands-on tutorials | ||||
Category | Title | Duration | Type | Link |
Phase 1: Technical Computing | MATLAB Onramp | 2 hours | Hands-on tutorial | Link |
Phase 2: Deep Learning | Machine Learning Onramp | 2 hours | Hands-on tutorial | Link |
Phase 2: Deep Learning | Deep Learning Onramp | 2 hours | Hands-on tutorial | Link |
Deep learning Deep Dive Get started with Deep Learning with these interactive videos and tutorials | ||||
Title | Duration | Type | Link | |
Deep Learning Introduction | 12 minutes | Video | Link | |
Deep Learning in 11 Lines of MATLAB Code | 3 minutes | Video | Link | |
Getting Started with Deep Learning Tutorial | 18 minutes | Video | Link | |
Deep Learning Onramp | 2 hours | Hands-on tutorial | Link | |
Deep Learning Cheatsheet | -- | Cheatsheet | Link |
Getting Started with Semantic Segmentation Using Deep Learning | Introduction to Deep Learning for Audio Applications |
A 4-part tutorial on using deep learning to segment and label images | Learn how to develop audio applications with deep learning typically by creating and accessing data sets, preprocessing and exploring data, developing predictive models, and deploying and sharing applications |
Image Captioning Using Attention Networks | Neural Style Transfer Using Deep Learning |
Learn how to train a deep learning model for image captioning using attention. | Apply the stylistic appearance of one image to the scene content of a second image. |
Speech Command Recognition Using Deep Learning | Train DQN Agent to Balance Cart-Pole System |
Learn how to train a deep learning model that detects the presence of speech commands in audio. | Learn how to train a deep Q-learning network agent to balance a cart-pole system modeled in MATLAB. |
- 범주:
- Deep Learning
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