#
*Machine
learning quiz questions TRUE or FALSE with answers, important machine
learning interview questions for data science, Top 3 machine learning
question set, ML exam questions*

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__Machine Learning TRUE / FALSE Questions - SET 11__

1. A multi-layer
neural network model trained using stochastic gradient descent on the same
dataset with different initializations for its parameters is guaranteed to learn
the same parameters.

(a) TRUE (b)
FALSE

**View Answer**Answer: FALSEThe loss function
for a multi-layer neural network is non-convex and hence SGD is only
guaranteed to converge to a local optimum. |

2. Stochastic
gradient descent results in a smoother convergence plot (loss vs epochs) as
compared to batch gradient descent.

(a) TRUE (b)
FALSE

**View Answer**Answer: FALSESGD results in
noisier convergence plots compared to batch gradient descent. |

3. The gradient of
the sigmoid with respect to an input that is very large will be infinity.

(a)
TRUE (b)
FALSE

**View Answer**Answer: FALSEBecause the
sigmoid is almost at for very large values, its gradient will be almost 0. |

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