Introduction to Neural Networks
Neurons, layers, and architectures.
1
Introduction to Neural Networks
Artificial Neural Networks (ANNs) are computational models inspired by the human brain. They consist of interconnected units called neurons, which process and transmit information.
ANNs are widely used in tasks like image recognition, natural language processing, and more.
2
What is a Neuron?
A neuron is the basic building block of a neural network. It receives input, processes it, and produces an output.
The key components of a neuron include:
- Input: Data or signals from other neurons.
- Weights: Importance assigned to inputs.
- Bias: Additional parameter to shift the output.
- Activation Function: Determines the output based on input.
All lessons in this course
- Introduction to Neural Networks
- Activation Functions
- Feedforward Neural Networks
- Backpropagation Algorithm
- First Neural Network with TensorFlow