### 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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