7. Which type of learning uses both labeled data and unlabeled data? a. Unsuperv

Question

7. Which type of learning uses both labeled data and unlabeled data? a. Unsupervised Learning b. Semi-supervised Learning c. Supervised Learning d. Reinforced Learning 8. Which neural network does not support state? a. Recurrent Neural Network b. Con c. Long/Short Term Memory Neural Network d. Feed Forward Neural Network vooal Neural Network 9. Which function does not apply to a fully-connected layer in a convolutional neural network? a. Flatten inputs from the previous layer b. Transform the layer output into the number of classes in a classification model c. Create an activation map d. Calculate the loss function for the model 10. The depth of the output from a convolutional layer is equal to the a. Stride b. Number of filters c. Dimensions of the weight matrix d. Dimensions of the input from the previous layer 11. Define trend, seasonal pattern, and cycle

Explanation / Answer

Ans 7 B)

In computer science, semi-supervised learning is a class of machine learning techniques that make use of both labeled and unlabeled data for training

Related Questions

Navigate

• Browse (All)
• Browse 7
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.