Computer Hardware, TensorFlow, Nvidia, Linear Algebra, Gpu.
threshold, the neuron becomes activated. There are numerous activation functions; two common ones are rectified linear unit (ReLU) and sigmoid. Overall, the interaction between weights, biases, and activation functions allows neural networks to learn complex patterns and make informed predictions.