Activation Functions
Activation Functions are specially used in artificial neural networks to transform an input signal into an output signalwhich in turn is fed as input to [Read More…]
Activation Functions are specially used in artificial neural networks to transform an input signal into an output signalwhich in turn is fed as input to [Read More…]
CNNs are deep learning architectures designed to process data with a grid-like structure, like images. Architecture of ConvNet is similar to that of human brain [Read More…]
ANN (artificial neural networks) is a branch of artificial intelligence whose design is influenced by the structure and function of the human brain. Artificial neural [Read More…]
In machine learning, loss function used to measure how well a model perform.The loss function essentially measures the disparity between the predictions generated by the [Read More…]
Linear regression(LR) is a statistical method used to predict dependent variable based on one or more dependent variable. The relationship between dependent variable(Y) and one [Read More…]
Machine learning is a subfield of Artificial intelligence(AI) that focuses on deveopment of algorithms by learning from existing data and ebable computers to perform tasks [Read More…]
Generative AI falls under the umbrella of machine learning, specializing in the production of new data samples mirroring real-world information. It encompasses various AI modalities, [Read More…]
Generative Adversarial Networks (GANs) are like a creative duel between two computerized artists: the generator and the discriminator. The generator tries to produce realistic-looking images, [Read More…]