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Articles tagged with #deep-learning
What is NLP? Natural language processing (NLP) is the branch of artificial intelligence that helps computers understand, interpret and manipulate human language. NLP draws from many disciplines, including computer science and computational linguisti...
What is Transfer learning in Deep Learning? Transfer Learning: It is a machine learning method where a model is developed for the task and is again used as the starting point for a model on a second task. It is a popular approach in deep learning w...
List down hyperparameter tuning in Deep Learning. The process of setting the hyper-parameters requires expertise and extensive trial and error. There are no simple and easy ways to set hyper-parameters — specifically, learning rate, batch size, mome...
What is the learning Rate? The learning rate controls how much we should adjust the weights concerning the loss gradient. Learning rates are randomly initialized. Lower the values of the learning rate slower will be the convergence to global minima....
How to initialize biases in deep learning? It is possible and common to initialize the biases to be zero since the random numbers in the weights provide the asymmetry braking. For ReLU non-linearities, some people like to use small constant values ...
What optimizer is deep learning, and which one is the best? Deep learning is an iterative process. With so many hyperparameters to tune or methods to try, it is important to be able to train models fast, to quickly complete the iterative cycle. Thi...
