This is where the information enters the neural network.
What is the input layer?
These are the initial things that early hidden layers find.
What are shapes and edges?
This is what A.I stands for.
What is artificial intelligence?
True or false? Hidden layers are called hidden because they aren't used in the neural network.
False
This is where a final prediction is made.
What is the output layer?
These can be any color and help computer vision models find patterns.
What are pixels?
What allows computers to recognize images, drive cars, and make art.
What is an artificial neural network?
These are what transfer data from one neuron to the other.
What are connections?
The way machines interpret images.
What is computer vision?
These influence how much strength an input has in a prediction.
What are weights?
The process of finding patterns by making mistakes.
What is machine learning?
These are what process and transform information from previous inputs.
What are hidden layers?
These are the numbers used to identify colors.
What are hexicodes?
In our neural network diagram project, these are what determined the weight each input had.
What are peer inputs?
These are the components that take inputs and combine them into a single output.
What are neurons?