Deep Neural Networks | Principal Components of a Neural Network
What do you understand by deep neural networks?Neural networks (NN) are powerful statistical learning models that can solve complex classification and regression problems. A...
What is Human Learning? | Types of Human Learning
What is Human Learning?In cognitive science, learning is typically referred to as the process of gaining information through observation. And why do we need...
Batch Normalization | Write down the properties of batch normalization.
Batch NormalizationWhat do you understand by batch normalization? Explain.Batch normalization is a recently popularized method for accelerating deep network training by making data standardization...
Type of machine learning Model| types of machine learning supervised unsupervised
Type of machine learningAs highlighted in Figure 1.3, Machine learning can be classified into three broad categories:Supervised learning- Also called predictive learning. A machine...
Explain the term training test and validation sets.
Explain the term training test and validation sets.Choosing the right dataset for a given classification task is of crucial importance for the generalization performance....
supervised learning in machine learning |supervised learning algorithms| supervised learning
supervised learning in machine learningSupervised Learning:- The major motivation of supervised learning is to learn from past information. So what kind of past...
Bayesian classifiers |Naive Bayes classifiers
What are Bayesian classifiers?Bayesian classifiers are statistical classifiers. They can predict class membership probabilities, such as the probability that a given tuple belongs to...
unsupervised learning in machine learning|unsupervised learning algorithms| unsupervised learning
unsupervised learning in machine learningUnsupervised learning:- Unlike supervised learning, in unsupervised learning, there is no labeled training data to learn from and no prediction...
Probability Density Function – Machine learning
What do you mean by probability density function?In a discrete random variable, probabilities are associated with particular individual values of the random variable, and...
Reinforcement learning algorithms in machine learning|Reinforcement learning algorithms| Reinforcement learning
Reinforcement learning algorithms in machine learningReinforcement learning:- We have seen babies learn to walk without any prior knowledge of how to do it. Often...
