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Transfer Learning Professional Certification – ITRONIX SOLUTIONS
Get Transfer Learning Certificate from Itronix Solutions which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.
Exam Details:
- Format: Multiple Choice Question
- Questions: 10
- Passing Score: 8/10 or 80%
- Language: English
Question 1: Transfer learning is a machine learning technique where a model trained on one task is re-purposed on a second related task.
- True
- False
Question 2: Which is the common approach that can use transfer learning on your own predictive modeling problems.
- Develop Model Approach
- Pre-trained Model Approach
- All of the above
Question 3: _ is an approach in deep learning (and machine learning) where knowledge is transferred from one model to another.
- Machine Learning
- Transfer Learning
- Deep Learning
- Artificial Learning
Question 4: Which is not a type of transfer of learning?
- Domain adaptation
- Domain confusion
- Multitask learning
- Hot-shot learning
Question 5: _ Transfer Learning requires the source and target domains to be the same, though the specific tasks the model is working on are different.
- Inductive
- Transductive
- Unsupervised
- None of the above
Question 6: _ Transfer learning approaches are developed and proposed to handle situations where the domains are of the same feature space.
- Hetrogeneous
- Homogeneous
- Hypergeneous
- Supergeneous
Question 7: Transfer learning is so common that it is rare to train a model for an __ related tasks from scratch.
- text
- mysql
- json
- image or natural language processing
Question 8: The _ transfer learning approaches transfer the knowledge at the model/parameter level.
- recurrent-based
- hyperperameter-based
- parameter-based
- sequential-based
Question 9: In __ sharing, the model is expected to be close to the already learned features and is usually penalized if its weights deviate significantly from a given set of weights.
- heavy weight
- soft weight
- light weight
- hard weight
Question 10: Which of these are pre-trained models you can use For NLP tasks?
- Word2Vec
- GloVe
- FastText
- All of the above
