The dropout technique was created by Geoffrey Hinton and his collaborators. They introduced this innovative concept to deal with overfitting in neural networks.
The 'dropout original story' could refer to the origin of the dropout technique in machine learning. Dropout was proposed as a way to prevent overfitting in neural networks. It randomly drops out (sets to zero) some neurons during training, which forces the network to learn more robust features. For example, in a neural network for image recognition, dropout helps the network generalize better to different types of images rather than just memorizing the training data.
I'm sorry, I haven't read 'the dropout original story' specifically, so I can't summarize it directly. But generally, it might be about someone dropping out of a certain situation like school, a job, or a program, and the events and consequences that follow.
Well, it could be. But often, stories labeled as such might incorporate fictional elements to make them more engaging or to protect the privacy of those involved. So, it's hard to say for sure.
No, Dropout is typically not a true story. It might draw inspiration from various sources but is crafted for entertainment purposes rather than being an account of real events.
Well, consider the case of Jane. She came from a poor family. School fees were a burden. On top of that, she had some learning difficulties. The teachers didn't have enough time to help her. So she dropped out. But after that, she didn't give up. She learned practical skills like sewing from her mother. Now she has her own small business making clothes.