1. Which programming language is Theano primarily based on?
a) Python
b) C++
c) Java
d) JavaScript
Answer: a) Python
2. Theano is a popular framework for which of the following?
a) Deep Learning
b) Web Development
c) Game Development
d) Mobile App Development
Answer: a) Deep Learning
3. What is the primary purpose of Theano?
a) To perform numerical computations efficiently
b) To create web applications
c) To manage databases
d) To design graphical interfaces
Answer: a) To perform numerical computations efficiently
4. In Theano, what does a shared variable allow?
a) Sharing data between functions
b) Sharing data across multiple GPUs
c) Sharing data between different programming languages
d) Sharing data over a network
Answer: a) Sharing data between functions
5. Which of the following best describes Theano's approach to computation?
a) Symbolic computation
b) Imperative computation
c) Functional computation
d) Procedural computation
Answer: a) Symbolic computation
6. What does Theano optimize to improve computational performance?
a) Symbolic expressions
b) Numeric values
c) String manipulations
d) File operations
Answer: a) Symbolic expressions
7. What does Theano allow for GPU-accelerated computations?
a) Automatic differentiation
b) Manual differentiation
c) Batch normalization
d) Gradient descent
Answer: a) Automatic differentiation
8. What does Theano optimize to reduce memory usage?
a) Computational graph
b) Input data
c) Activation functions
d) Loss functions
Answer: a) Computational graph
9. Which deep learning library is built on top of Theano?
a) Keras
b) TensorFlow
c) PyTorch
d) scikit-learn
Answer: a) Keras
10. Which of the following is a benefit of using Theano?
a) Efficient symbolic differentiation
b) High-level abstractions
c) Limited community support
d) Limited platform compatibility
Answer: a) Efficient symbolic differentiation
11. Which company originally developed Theano?
a) Montreal Institute for Learning Algorithms (MILA)
b) Google
c) Facebook
d) Microsoft
Answer: a) Montreal Institute for Learning Algorithms (MILA)
12. In Theano, what is a tensor?
a) A multidimensional array
b) A graphical representation
c) A scalar value
d) A symbolic expression
Answer: a) A multidimensional array
13. Which Theano function is used to define a symbolic expression for gradient computation?
a) T.grad()
b) T.grad_compute()
c) T.compute_gradient()
d) T.gradient()
Answer: a) T.grad()
14. What is the purpose of Theano's function method?
a) Compiling a symbolic expression into a callable function
b) Generating random numbers
c) Defining symbolic variables
d) Visualizing the computational graph
Answer: a) Compiling a symbolic expression into a callable function
15. Which Theano module is used for handling GPU configurations and memory optimizations?
a) theano.config
b) theano.graph
c) theano.tensor
d) theano.compile
Answer: a) theano.config
16. What is the primary advantage of Theano's symbolic computation approach?
a) Efficient computation of gradients
b) Simplicity and ease of use
c) Support for dynamic computation graphs
d) Compatibility with multiple programming languages
Answer: a) Efficient computation of gradients
17. What is the role of Theano's scan function?
a) Performing loops and iterations in symbolic expressions
b) Loading data into the computational graph
c) Applying activation functions
d) Compiling the computational graph
Answer: a) Performing loops and iterations in symbolic expressions
18. Which Theano function is used to specify the element-wise addition of two tensors?
a) T.add()
b) T.sum()
c) T.mul()
d) T.dot()
Answer: a) T.add()
19. What is the purpose of Theano's config.allow_gc setting?
a) Allowing garbage collection for deallocation of unused memory
b) Configuring the GPU
c) Enabling gradient clipping
d) Enforcing strict type checking
Answer: a) Allowing garbage collection for deallocation of unused memory
20. What does Theano's shared function do?
a) Creates a shared variable with a value that can be updated during the computation
b) Shares a symbolic expression with another computational graph
c) Shares a function with multiple users
d) Shares memory across different processes
Answer: a) Creates a shared variable with a value that can be updated during the computation
21. Which Theano module provides tools for unit testing and numerical verifications?
a) theano.tensor
b) theano.graph
c) theano.compile
d) theano.tests
Answer: d) theano.tests
22. What is the recommended approach for creating a custom loss function in Theano?
a) Defining a symbolic expression using theano.tensor operations
b) Writing a Python function with NumPy operations
c) Using a built-in loss function provided by Theano
d) Importing a loss function from scikit-learn
Answer: a) Defining a symbolic expression using theano.tensor operations
23. Which Theano function is used to compute the dot product of two tensors?
a) T.dot()
b) T.mul()
c) T.add()
d) T.sum()
Answer: a) T.dot()
24. What is the role of Theano's tensor.nnet module?
a) Providing neural network-related operations
b) Handling numerical computations
c) Managing symbolic expressions
d) Loading and preprocessing data
Answer: a) Providing neural network-related operations
25. Which Theano module is used for automatic differentiation?
a) theano.tensor.grad
b) theano.tensor.nnet
c) theano.tensor.dot
d) theano.tensor.nnet.softmax
Answer: a) theano.tensor.grad
26. What is the purpose of Theano's theano.function?
a) Compiling a symbolic expression into a callable function
b) Defining a symbolic expression
c) Importing external Python functions
d) Initializing a shared variable
Answer: a) Compiling a symbolic expression into a callable function
27. Which Theano function is used to compute the exponential of a tensor element-wise?
a) T.exp()
b) T.log()
c) T.sin()
d) T.cos()
Answer: a) T.exp()
28. What does Theano's tensor.maximum function do?
a) Computes element-wise maximum of two tensors
b) Computes the mean of a tensor
c) Computes the dot product of two tensors
d) Computes the sum of a tensor
Answer: a) Computes element-wise maximum of two tensors
29. In Theano, what does the tensor.concatenate function do?
a) Concatenates tensors along a specified axis
b) Computes the dot product of two tensors
c) Computes the element-wise sum of two tensors
d) Computes the element-wise product of two tensors
Answer: a) Concatenates tensors along a specified axis
30. What is the purpose of Theano's tensor.grad function?
a) Computes the gradient of a scalar with respect to a tensor
b) Computes the element-wise sum of two tensors
c) Computes the dot product of two tensors
d) Computes the maximum element-wise value of a tensor
Answer: a) Computes the gradient of a scalar with respect to a tensor
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