Neural Networks, Gpt, Machine Learning, AI, ChatGPT.
steps. Both vanishing and exploding gradients hinder the training of RNNs by making it difficult to effectively update the network’s parameters and converge to an optimal solution. This can have several implications for real-world applications: Long-Term Dependencies: RNNs are designed to capture