Representation Learning, Autoencoder, Self Supervised Learning, Machine Learning, Artificial Intelligence.
learn these representations can be resource-intensive. Deep neural networks demand vast computational power, which might be a constraint for small organizations or individual researchers. Potential Biases: Models learn from data; if the data has biases, the learned representations can inadvertently