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deep learning

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deep learning

Why Nesterov Accelerated Gradient Converges Faster Than Momentum

Gradient-based optimization lies at the heart of modern machine learning. From linear regression to deep neural networks, the efficiency of training depends heavily on how quickly and stably an opt…

Abdur-Rahmaan Janhangeer

Chef

deep learning

What is Perceptron in Deep Learning

Deep learning is one of the most useful and trending topics in the current world scenario, which works on the concepts of neural networks, computer vision, perceptrons, and many other techniques. P…

Parth Shukla

Ml wizard

deep learning

ReLU Activation Function and Its Variants

Activation functions in deep learning are the functions that decide the output from node or hidden layers from a given set of inputs in neural networks. There are many activation functions used in …

Parth Shukla

Ml wizard

deep learning

Nesterov Accelerated Gradient (NAG) Optimizer in Deep Learning

In deep learning, optimizers are the type of function which are used to adjust the parameters of the model. The optimizers are used in deep learning to adjust the weights and biases of the neural n…

Parth Shukla

Ml wizard

deep learning

Machine Learning Part 9: An Introduction to Neural Networks

Neural Networks are the backbone of modern Artificial Intelligence, powering everything from face recognition to self-driving cars. In this post, we’ll explore the basic building block of a neural …

Abdur-Rahmaan Janhangeer

Chef