In a neural network, knowing the weight and bias of each neuron is the most important step. If you can somehow get the correct value of weight and bias for each neuron, you can approximate any function. What would be the best way to approach this?
Question
In a neural network, knowing the weight and bias of each neuron is the most important step. If you can somehow get the correct value of weight and bias for each neuron, you can approximate any function. What would be the best way to approach this?
How many layers of Deep learning algorithms are constructed?
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 algorithms in image classification.
Which of the following is/are Limitations of deep learning?
Which of the following is well suited for perceptual tasks?
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 the sum of p over all n equals to1?
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 the hidden output layer and the input hidden layer?
Programming Skill