Artifact in Archaeology In Archaeology, Artifact is every object created or given shape by a human. For example, it can
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Batch Normalization
Normalization Before we learn about Batch normalization lets see what is Normalization. It is technique of transforming the data to
Continue readingAdaptive Learning Rate in Deep Learning
Adaptive learning rate algorithms monitor the performance of the training and based on monitoring they adjust learning rate. They provide
Continue readingRegularization in Deep Learning
What is Regularization Regularization is a technique that helps reduce overfitting or reduce variance in Neural network by penalizing for complexity.
Continue readingBias and Variance in Machine Learning
Bias Bias is error of Machine learning model. It is inability for a Machine learning algorithm to capture true relationship.
Continue readingDifference Between Loss and Cost Function in Deep Learning
Loss function The Loss function computes the error for a single training example. Cost function The Cost function is the
Continue readingWhy Deep Learning is Better then Other Machine Learning Algorithms
Deep Learning is better then other Traditional Machine learning algorithms because it gives better precision when it use large amount
Continue readingGradient Descent and its Variants in Deep Learning
1. Gradient Descent Gradient descent is an optimization algorithm used for finding weights (parameters) in Deep learning that will produce
Continue readingTensors in Deep Learning
1. What is Tensor Tensors are primary data structures used by Artificial Neural Networks. All inputs and outputs are represented
Continue readingHow GPU can Powerfully Speed Up Training in Deep Learning
1. What is GPU GPU (Graphics Processing Unit) is chip designed to handle Graphics in computing environments. GPU is designed
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