OCI 2023 AI Foundations Associate (1Z0-1122-23) S4
Oracle Cloud Infrastructure 2023 AI Foundations Associate (1Z0-1122-23)
- Which type of Recurrent Neural Network (RNN) architecture is used for Machine Translation?
- Many-to-Many (*)
- One-to-Many
- Many-to-One
- One-to-One
Correct Option: Many-to-Many
Machine Translation involves translating a sentence or a sequence of text from one language to another, which is essentially a sequence-to-sequence problem. In the Many-to-Many RNN architecture, the network takes a sequence of inputs and produces a sequence of outputs. In the context of machine translation, this means it can take a sequence of words or tokens in one language as input and generate a corresponding sequence of words or tokens in another language as output.
- Which essential component of Artificial Neural Network performs weighted summation and applies activation function on input data to produce an output?
- Neuron (*)
- Iterator
- Classifier
- Bias
Correct Option: Neuron
A neuron in an Artificial Neural Network is the fundamental building block responsible for performing weighted summation and applying an activation function to input data to produce an output.
- Which sequence model can maintain relevant information over long sequences?
- Feed Forward Neural Networks
- Recurrent Neural Networks
- Long Short-Term Memory Neural Networks (*)
- Convolutional Neural Networks
Correct Option: Long Short-Term Memory Neural Networks
Long Short-Term Memory (LSTM) Neural Networks are the sequence model of choice when it comes to handling and maintaining relevant information over long sequences, making them particularly well-suited for tasks such as language modeling, machine translation, and speech recognition.
- How do hidden layers in neural networks help with character recognition?
- By enabling the network to learn complex features such as edges and shapes (*)
- By increasing the network’s processing speed
- By improving the interpretability of the model’s decisions
- By directly mapping input characters to output predictions
Correct Option: By enabling the network to learn complex features like edges and shapes
Hidden layers in neural networks are crucial for character recognition because they enable the network to learn and extract complex features and patterns, such as edges, shapes, and curves, which are essential for recognizing characters.
- Which neural network has a feedback loop and is designed to handle sequential data?
- Multi-Layer Perceptron Neural Networks
- Convolution Neural Networks
- Recurrent Neural Networks (*)
- Feed Forward Neural Networks
Correct Option: Recurrent Neural Networks
Recurrent Neural Networks (RNNs) are a type of neural network architecture that includes feedback connections. These feedback connections allow RNNs to process sequential data such as time series, natural language, speech, and more.
See also