Neural Network and its Use-Case ✨

Let’s understand how neural network works 🧠

  • Input Layer: The input layer consists of one or more input variables or feature variables. Which could be denoted as X1, X2, X3,………………….Xn.
  • Hidden Layer: The hidden layer consist of one or more hidden nodes or hidden units. It computes most of the computation tasks required by the neural network.
  • Output Layer: The output layer consists of one or more output units which function is to predict the output.

✨Industry Use Case of Neural Network

Google — Neural Networks and ‘Machines That Dream’ 👨🏼‍💻

IBM — Better Healthcare 👨🏼‍⚕️

Conclusion ✨

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Aditya Raj

Aditya Raj

I'm passionate learner diving into the concepts of computing 💻