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Building an Artificial Neural Network to make Predictions with Machine Learning.

  • Artificial Neural Networks (ANNs) simulate the way humans learn and process information.
  • ANNs consist of nodes (artificial neurons) organized in layers: input, hidden, and output.
  • Training an ANN involves adjusting weights and biases using backpropagation and optimization.
  • ANNs have diverse applications in computer vision, NLP, healthcare, finance, and robotics.

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