The number of nodes in the input layer is 10 and the hidden layer is 5. The maximum number of connections from the input layer to the hidden layer are

Deep Learning MCQ Quiz (Multiple Choice Questions And Answers)

• Which of the following is a subset of machine learning?
• How many layers Deep learning algorithms are constructed?
• The first layer is called the?
• CNN is mostly used when there is an?
• Which of the following is/are Common uses of RNNs?
• Which neural network has only one hidden layer between the input and output?
• RNNs stands for?
• Deep learning algorithms are _______ more accurate than machine learning algorithm in image classification
• Which of the following is well suited for perceptual tasks?
• Which of the following is/are Limitations of deep learning?
• The input image has been converted into a matrix of size 28 X 28 and a kernel/filter of size 7 X 7 with a stride of 1. What will be the size of the convoluted matrix?
• Which of the following statements is true when you use 1×1 convolutions in a CNN?
• Which of the following functions can be used as an activation function in the output layer if we wish to predict the probabilities of n classes (p1, p2..pk) such that sum of p over all n equals to 1?
• The number of nodes in the input layer is 10 and the hidden layer is 5. The maximum number of connections from the input layer to the hidden layer are
• In which of the following applications can we use deep learning to solve the problem?
• Assume a simple MLP model with 3 neurons and inputs= 1,2,3. The weights to the input neurons are 4,5 and 6 respectively. Assume the activation function is a linear constant value of 3. What will be the output ?
• In a simple MLP model with 8 neurons in the input layer, 5 neurons in the hidden layer and 1 neuron in the output layer. What is the size of the weight matrices between hidden output layer and input hidden layer?
• Which of the following would have a constant input in each epoch of training a Deep Learning model?
• In CNN, having max pooling always decrease the parameters?
• Sentiment analysis using Deep Learning is a many-to one prediction task
• Which, if any, of the following propositions is true about fully-connected neural networks (FCNN)?
• What consist of Boltzmann machine?
• In which neural net architecture, does weight sharing occur?
• Which of the following methods DOES NOT prevent a model from overfitting to the training set?
• 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::

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• Deep Learning MCQ Quiz (Multiple Choice Questions And Answers)

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