Deep Learning Techniques in Python for Vision and Language

1. What is deep learning primarily based on?

A) Decision Trees B) Neural Networks C) Linear Regression D) K-means Clustering

2. Which activation function is commonly used in hidden layers of neural networks?

A) Sigmoid B) ReLU C) Softmax D) Tanh

3. What is the main difference between supervised and unsupervised learning?

A) Use of labeled data in supervised learning B) Use of unlabeled data in supervised learning C) Both use labeled data D) None of the above

4. Which of the following is a non-linear activation function?

A) ReLU B) Linear C) Sigmoid D) Tanh

5. What does ReLU stand for?

A) Rectified Exponential Linear Unit B) Rectified Exponential Logarithmic Unit C) Rectified Linear Unit D) Rectified Logarithmic Unit

6. Which deep learning model is best suited for image processing tasks?

A) Recurrent Neural Network (RNN) B) Convolutional Neural Network (CNN) C) Support Vector Machine (SVM) D) Decision Tree

7. What type of learning is used when there are no labels in the dataset?

A) Supervised Learning B) Unsupervised Learning C) Semi-Supervised Learning D) Reinforcement Learning

8. Which activation function outputs values between -1 and 1?

A) ReLU B) Sigmoid C) Tanh D) Softmax

9. Which concept is essential for handling sequential data?

A) Convolution B) Recurrence C) Pooling D) Dropout

10. Which deep learning method involves interaction with an environment?

A) Supervised Learning B) Unsupervised Learning C) Reinforcement Learning D) Transfer Learning

Deep Learning Quiz