Machine Learning and Deep Learning Quiz

What does NLP stand for?

• Neural Language Processing

• Natural Learning Process

• Neural Learning Process

• Natural Language Processing

Which task involves categorizing text into predefined categories?

• Question Answering

• Text Classification

• Text Summarization

• Machine Translation

What is the purpose of sentiment analysis in NLP?

• To generate fake text using Char-RNN

• To analyze public opinions on social media

• To create virtual assistants like Siri

• To translate text from one language to another

What is the main application of Char-RNN model?

• Translating Languages

• Generating Shakespearean Text

• Creating Virtual Assistants

• Analyzing Sentiments in Social Media

What is the purpose of the Beam Search technique in machine translation?

• To keep a list of most promising outputs

• To predict the next character in text

• To divide the dataset into smaller windows

• To convert word ID to feature rich embeddings

What is the main advantage of using the Attention Mechanism in NLP?

• To train massive embeddings

• To capture context and word meaning

• To predict the next character based on previous characters

• To ignore useless words in the text

What is the purpose of the Transformer model in NLP?

• To create virtual assistants like Siri

• To generate fake text using Char-RNN

• To analyze public opinions on social media

• To fine-tune language understanding models

What is the main use of BERT, GPT-3, and Roberta in NLP?

• To generate fake text using Char-RNN

• To teach the model language fundamentals

• To train massive embeddings

• To predict the next character in text

What is the purpose of the Softmax activation function in the Char-RNN model?

• To predict the next character based on previous characters

• To apply the softmax activation to the outputs

• To divide the dataset into smaller windows

• To convert word ID to feature rich embeddings

What is the main goal of sentiment analysis in NLP?

• To translate text from one language to another

• To understand subjective opinions and emotions in text

• To analyze public opinions on social media

• To create virtual assistants like Siri