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Paid Courses I recommend for learning (affiliate links, no extra cost for you):
⭐ Machine Learning Specialization https://bit.ly/3hjTBBt
⭐ Deep Learning Specialization https://bit.ly/3YcUkoI
📘 MLOps Specialization http://bit.ly/3wibaWy
📘 GAN Specialization https://bit.ly/3FmnZDl
📘 NLP Specialization http://bit.ly/3GXoQuP
✨ Free Resources that are great:
NLP: https://web.stanford.edu/class/cs224n/
CV: http://cs231n.stanford.edu/
Deployment: https://fullstackdeeplearning.com/
FastAI: https://www.fast.ai/
💻 My Deep Learning Setup and Recording Setup:
https://www.amazon.com/shop/aladdinpersson
GitHub Repository:
https://github.com/aladdinpersson/Machine-Learning-Collection
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LinkedIn - https://www.linkedin.com/in/aladdin-persson-a95384153/
Github - https://github.com/aladdinpersson
Timestamps:
0:00 - Introduction
0:45 - Imports
1:00 - Architecture config
6:10 - Implementation Structure
7:10 - CNNBlock
10:10 - SqueezeExcitation
13:05 - InvertedResidualBlock (w. Stocasthic depth)
23:44 - EfficientNet
36:22 - Running a small test case
37:55 - Ending