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• Layers: In the context of data science and artificial intelligence, layers refer to the building blocks of neural networks. A neural network is composed of multiple layers, each of which performs a specific function in the overall computation. The ... Read More >>
• Reinforcement Learning: Reinforcement Learning is a type of machine learning where an agent learns to behave in an environment by performing certain actions and receiving rewards or penalties. The goal of the agent is to maximize the cumulative reward over time. T ... Read More >>
• Adversarial Attacks: Adversarial attacks refer to the deliberate manipulation of input data to machine learning models in order to cause the model to misclassify or produce an incorrect output. These attacks can be carried out by adding imperceptible perturbati ... Read More >>