Neural Network Components - Part 1
Neural Network is the building block of Deep Learning technique that imitates human brain's biological neural system🧠
This video covers three essential components of neural network:
1) Input layer
2) Hidden layer
3) Output layer
In addition, it provides a brief overview of forward and backward propagation techniques that help #neuralnetwork in learning the input data. 🤖🦾🦿
📍Browse the following materials to gather additional insights on this topic:
https://becominghuman.ai/basics-of-ne...
https://towardsdatascience.com/artifi...
https://towardsdatascience.com/the-co...
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