Python Mastery

Which of the following best describes deep learning?

• A subset of machine learning focused on algorithms with multiple layers

• A type of unsupervised learning technique

• A traditional approach to programming

• A method for analyzing structured data only

What is the primary advantage of convolutional neural networks (CNNs) in image processing?

• Ability to handle only one layer of neurons

• Capability to automatically learn hierarchical features from raw data

• Reliance on handcrafted features for image analysis

• Limited applicability to tasks beyond image processing

What role do pooling layers play in convolutional neural networks (CNNs)?

• Increasing the size of feature maps

• Downsampling the feature maps to reduce dimensionality

•  Introducing non-linearity to the network

• Adding noise to the input data

Which of the following is the widely used library for deep learning framework?

• NumPy

• Matplotlib

• TensorFlow

• Scikit-Learn

Which of the following is a popular loss function used in the binary classification task for a deep learning model?

• Huber Loss

• Cross-Entropy Loss

• Mean Squared Error (MSE)

• Mean Absolute Error (MAE)

What is the primary purpose of modifying capacity in a dense neural network?

• To reduce overfitting

• To reduce underfitting

• To decrease the model's complexity

• To balance between underfitting and overfitting the training data

Which type of layers is not part of the Convolutional Neural Network architecture?

• Input layer

• Middle layer

• Pooling layer

• Convolutional layer

There are 2 types of pooling layers which are commonly used i.e.

• layers

• filter layer and combined layer

• average pooling layer and Max pooling layer

• max pooling layer and minimum pooling layer

Grayscale and RGB images can be represented by matrix shape of

• (n x m x 3), (m x m x 0)

• (n x m x 1), (n x m x 3)

• (m x m x 1), (m x m x 2)

• (m x m x 3), (m x m x 2)

Pre-trained part in the Covnets model refer to

• base

• body

• head

• tail