Common notations. In machine learning, training examples are are often represented by the letter “m”. We often break our training examples into 2 sets. Training set and test set. We training set it often denoted by “m” subscript train And the...
READ MOREIn this lesson we are going to give a short revision of calculus. This will help to be able to picture backpropagation and gradient descent more easily in future lesson. You do not need to understand calculus to work with deep learning major of...
READ MOREThe foundational unit of the human brain is the neuron. A tiny piece of the brain, about the size of grain of rice, contains over 10,000 neurons, each of which forms an average It’s this massive biological network that enables us to...
READ MOREWe first predict the result, we compare the predicted result expected resulted, then we learn the difference between the predicted result and the expected once we have learnt the difference we adjust certain parameters of our algorithm in order...
READ MOREThere are two ways of looking at deep learning and its relationship to the larger field of artificial intelligence. Deep learning can be described as a subset if machine learning which uses artificial neural networks. Machine learning is the...
READ MORE© 2024 All Rights Reserved. Terms of use and Privacy Policy
