In this video, we'll see how to build and train a neural network, all from a theoretical perspective. So let's get started!
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CONTENT
0:00 - Introduction
0:36 - What is a multilayer perceptron?
0:58 - What is a layer?
1:40 - Types of layers
2:36 - Deep learning
2:56 - Examples
4:18 - How do you train a neural network?
5:34 - Forward Propagation
7:04 - Backward Propagation
8:36 - Gradient Descent
10:49 - Learning Rate
REFERENCES:
📖 Python Machine Learning - Sebastian Raschka
📖 Python Deep Learning - Jordi Torres https://www.amazon.com/-/es/Jordi-Tor... vRObId0u7CTaF7JcDl_xrQylbCs1CzMN5ZL5VkeGEOf1xyylIX1-Nu3rtNuIXuy7EsAWwv2MPvOMj7VKcZ_ootL__BptWHh0Z_nwlI0SG0ofgLrY7sb0P5oETLvothU.J Tnt-7_ypK9jnU2X1BSv4s9LPcjTeTL6vtpRtDQvonI&dib_tag=se&keywords=jordi+torres&qid=1712201260&sprefix=jordi+torres%2Caps%2C181&sr=8-2 )
📖 Deep Learning for Computer Vision - Dr. Adrian Rosebrock
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