Input Neuron is a Lie!

Thinking Neuron · Beginner ·📐 ML Fundamentals ·2y ago

About this lesson

Artificial Neural Networks (ANN) Input layer circles are NOT neurons! This is one of the biggest misconceptions in deep Learning due to the way the input layer is traditionally represented using circles... which look similar to the hidden layer and the output layer. Ideally, the input layer should be represented using any other shape, because circles are used for Neurons. Full Video with Coding Context: https://www.youtube.com/watch?v=gtjZwKSAVQE Further Study on this topic... How does a neuron work in Deep Learning ANN? https://youtu.be/i3crGbdElSw How does ANN work? in-depth tutorial. https://youtu.be/ru6XjN3JakI Deep Learning Tutorials https://www.youtube.com/playlist?list=PLOLWGEXpOrBxHOzhwnBDU6HOGCTm87UiY #deeplearning #viral #neuralnetworks #inputlayer

Original Description

Artificial Neural Networks (ANN) Input layer circles are NOT neurons! This is one of the biggest misconceptions in deep Learning due to the way the input layer is traditionally represented using circles... which look similar to the hidden layer and the output layer. Ideally, the input layer should be represented using any other shape, because circles are used for Neurons. Full Video with Coding Context: https://www.youtube.com/watch?v=gtjZwKSAVQE Further Study on this topic... How does a neuron work in Deep Learning ANN? https://youtu.be/i3crGbdElSw How does ANN work? in-depth tutorial. https://youtu.be/ru6XjN3JakI Deep Learning Tutorials https://www.youtube.com/playlist?list=PLOLWGEXpOrBxHOzhwnBDU6HOGCTm87UiY #deeplearning #viral #neuralnetworks #inputlayer

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