#It seems like there might be a slight typo in your question. I assume you're referring to "ANN" (Artificial Neural Network) and "CNN" (Convolutional Neural Network). Let me provide you with a simple ...

Deep Learning course from Udemy covering the topics of ANN, CNN, RNN, Boltzmann Machines, SOMs and Autoencoders - gpsyrou/Deep-Learning-A-Z. ... but rather a framework for many different machine ...

Learn what ANN interpretability is, why it matters, and how you can use it to understand, explain, and improve bias in machine learning. Agree & Join LinkedIn ...

Deep learning is one of the most recent development form of Artificial Neural Network (ANN) in machine learning. Deep Neural Network (DNN) algorithm is usually used in image and speech recognition ...

Widely used for its computer vision applications, it comes with three layers viz. convolutional layer, pooling layer, and fully-connected layer. Computer vision, which is applied in image ...

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically ...

Cancer is disease in which there is unnatural growth of abnormal cells that infest healthy cells in the body. Lung cancer invokes imbalance in cells which affects the lungs. Prediction of lung cancer ...

Geoffrey Hinton, professor at the University of Toronto and engineering fellow at Google Brain, recently published a paper on the Forward-Forward algorithm (FF), a technique for training neural networ ...

Deep learning is a topic that is making big waves at the moment. It is basically a branch of machine learning (another hot topic) that uses algorithms to e.g. recognize objects and understand ...