A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. Neural networks are composed of layers of interconnected nodes or neurons, each layer transforming the input data before passing it on to the next layer.
How Neural Networks Work
Neural networks are used for a variety of machine learning tasks, including classification, regression, and even generative modeling. The process involves feeding data into the input layer, which then propagates through one or more hidden layers, and finally produces an output. Each neuron in these layers applies a transformation to its input data and passes the result to the next layer. The strength of the connections (weights) between neurons is adjusted during training to minimize the difference between the network's output and the actual target values.
Download this guide to delve into the most common LLM security risks and ways to mitigate them.
Lakera Guard protects your LLM applications from cybersecurity risks with a single line of code. Get started in minutes. Become stronger every day.
Several people are typing about AI/ML security. Come join us and 1000+ others in a chat that’s thoroughly SFW.