Youtor
Lecture 2A Convolutional Neural Networks Full Stack Deep Learning Spring 2021
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=hO3kOdShwsI
New course announcement ✨ • We're teaching an in-person LLM bootcamp in the SF Bay Area on November 14, 2023. Come join us if you want to see the most up-to-date materials building LLM-powered products and learn in a hands-on environment. • https://www.scale.bythebay.io/llm-wor... • Hope to see some of you there! • --------------------------------------------------------------------------------------------- In this video, we first review convolution operation, the most basic property of Convolutional Neural Networks. Then, we look at other important operations for ConvNets. Finally, we transition to looking at a classic ConvNet architecture called LeNet. • 00:00 - Introduction • 01:08 - Convolutional Filters • 07:10 - Filter Stacks and ConvNets • 11:25 - Strides and Padding • 14:35 - Filter Math • 21:44 - Convolution Implementation Notes • 24:04 - Increasing the Receptive Field with Dilated Convolutions • 27:30 - Decreasing the Tensor Size with Pooling and 1x1-Convolutions • 30:54 - LeNet Architecture
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