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Get Deep Learning with TensorFlowCertificate from MachineLearning.org.in 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
Here are the Questions and Answers:
Question 1: When did deep learning start?
- 1943
- 1962
- 1978
- 1989
Question 2: Who is father of deep learning?
- Ilya Sutskever
- David Rumelhart
- Alex Krizhevsky
- Frank Rosenblatt
Question 3: How many layers Deep learning algorithms are constructed?
- 2
- 3
- 4
- 5
Question 4: Which of the following is a subset of machine learning?
- SciPy
- Numpy
- Deep Learning
- All of the above
Question 5: The Deep Learning first layer is called the?
- Hidden layer
- Outer layer
- Inner layer
- None of the above
Question 6: Assume that your machine has a large enough RAM dedicated to training neural networks. Compared to using stochastic gradient descent for your optimization, choosing a batch size that fits your RAM will lead to::
- a more precise but slower update.
- a less precise but faster update.
- a less precise and slower update.
- a more precise and faster update.
Question 7: Which of the following methods DOES NOT prevent a model from overfitting to the training set?
- Dropout
- Pooling
- Early stopping
- Data augmentation
Question 8: In which of the following applications can we use deep learning to solve the problem?
- Protein structure prediction
- Detection of exotic particles
- Prediction of chemical reactions
- All of the above
Question 9: Which of the following statements is true when you use 1×1 convolutions in a CNN?
- It can be used for feature pooling
- It can help in dimensionality reduction
- It suffers less overfitting due to small kernel size
- All of the above
Question 10: RNNs stands for?
- Recurrent Neural Networks
- Report Neural Networks
- Receives Neural Networks
- Recording Neural Networks
