Various Classification Algorithms
Question: What are the various classification algorithms? Example “There’s a lot of classification algorithms, but some noteworthy ones are linear methods– including naive bayes or…
Topic Tag: Interview
Activation Function
Question: What is the role of activation function? Example “The activation function is used to make neural networks capable of understanding non-linearity for learning complex…
Variants of Back Propagation
Question: What are the variants of back propagation? Example “There are three variants, the stochastic gradient descent, which uses only single training examples for calculations;…
Back Propagation
Question: What is the back propagation and how does it work? Example “Back propagation is a training algorithm that moves the error from an end…
Gradient Descent
Question: Explain gradient descent. Example “Gradient descent is the minimizing of an algorithm towards a given function, rather than building up the algorithm. Basically, by…
Structure of Neural Networks
Question: Describe the structure of artificial neural networks? Example “The way the neural network are shaped, you have many different inputs with a lot of…
Artificial Neural Network
Question: What are artificial neural networks? Example “An artificial neural network is a machine learning technique that mimics biological neural network that take changing input…
Boltzmann Machine
Question: What is a Boltzmann Machine? Example “A Boltzmann Machine discovers features that represent complex regularities in training data, used to optimize weights and quantity…
Auto-encoder
Question: What is an auto-encoder? Example “The auto-encoder receives unlabeled input that it encodes to reconstruct the input, making it easier to make the input…
Linear Regression
Question: What is linear regression? Example “Linear regression is when you are using input variable or variables to predict a change in Y. This differs…