In this sixth episode of the Deep Learning Fundamentals series, we will build on top of the previous part to showcase how Deep Neural Networks are constructed from a single basic entity called the Perceptron.
The more complex our classification problem, the more Perceptrons we need to add to our Deep Neural Networks.
We then introduce naming conventions used in the literature of Deep Learning.
Episode 1 link: • Classification in Deep Learning - Ep.1 (De...
Episode 2 link: • Naming Conventions In Deep Learning - Ep. ...
Episode 3 link: • Linear Binary Classification - Ep.3 (Deep ...
Episode 4 link: • Non Linear Classification - Ep.4 (Deep Le...
Episode 5 link: • Deep Neural Networks - Ep.5 (Deep Learning...
Intro music: www.bensound.com/
#deepneuralnetworks #perceptrons #classification #deeplearning #binaryclassification #regression #neuralnetworks #perceptrons #logisticregression #machinelearning #datascience
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