TensorFlow Practice Set – Test your Knowledge
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TensorFlow Practice Set
This TensorFlow Practice Set will help you to revise your TensorFlow concepts. It will increase your confidence while appearing for the TensorFlow interview. Answer all the questions, this TensorFlow Practice set includes TensorFlow questions with their answers, it will you to boost your knowledge.
Also, you can test yourself with our another TensorFlow Quiz.
So, let’s start TensorFlow Practice set.
Q.1 What of the following is accurate in regard to backpropagation algorithm?
Q.2 Considering backpropagation, which of the following options is true?
Q.3 What are the general limitations of back propagation rule?
Q.4 A format will modify both the stored value and the displayed value.
Q.5 In backpropagation rule, how can the learning be stopped?
Q.6 Which of the following evaluation metrics can be used to evaluate a model while modeling a continuous output variable?
Q.7 Which of the following is accurate with respect to Normal Equation?
1. No need to choose the learning rate.
2. Convergence becomes slow when number of features is very large.
3. No need to iterate
Q.8 Which of the following statement is correct in regard to outliers in Linear regression?
Q.9 If degree 4 polynomial is fitted in linear regression, what will happen?
Q.10 Plasticity in neural networks is?
Q.11 What kind of signal is used in speech recognition?
Q.12 The number of 3-D image processing techniques that are present in image perception?
Q.13 Fill in the blank with the correct choice from the options given. Neural Networks are complex ______________ functions with many parameters.
Q.14 The network that involves feedback links from o/p to i/p and hidden layers is called as ____
Q.15 In the full joint probability distribution, how can the entries be calculated?
Q.16 While creating the Bayesian network, the relation between a node and its predecessor is?
Q.17 From the following choices where can deep learning be used?
Q.18 The nodes in the i/p layer is 10 and that in the hidden layer is 5. The max connections from the i/p layer to the hidden layer are?
Q.19 If it is wished to predict the probabilities of n classes (p1, p2..pk) such that sum equals to unity, which of the following can be used as an activation function?
Q.20 Which of following functions should not be used at the output layer to classify an image?
Hence, we completed our TensorFlow tutorial, with this TensorFlow Practice set.
Related article –
TensorFlow Quiz Part 2