Feed
Discussion
Jun 6, 2025
How Dropout Improves Neural Network Accuracy
What is Dropout? Dropout is a regularization technique used to reduce over-fitting in Neural Networks(NN), Deep Learning. Over-fitting occurs when a model fits very well on training data but performs poorly on new data. A complex MLP tries to make a ...
dropout-neural-network.hashnode.dev2 min read
#neural-networks#machine-learning#deep-learning#ai#technology#genai#rnn#cnn#dropout#dataset-for-machine-learning#complexity#networking
Responses
No responses yet.