In AI Era

Note: This is an aggregated article from various blogs website. Aimed at helping people understand Deep learning with ease. What is Deep Learning? Deep learning is a type of ML that use a cascade of many layers of nonlinear processing units for pattern analysis (unsupervised) and classification (supervised). Each successive layer uses the output from the previous layer as input. Learning is based on multiple levels of representations that correspond to different levels of abstraction. Neuron A neuron forms the basic structure of a neural network. A neuron receives an input, processes it and generates an output which is either sent to other neurons for further processing or it is the final output.                     Weights When input enters the neuron, it is multiplied by a weight. We initialize the weights randomly and these weights are updated during the model training process.  Weights ...

Note: This is an aggregated article from various blogs website. Aimed at helping people understand AI with ease. Artificial Intelligence (AI) AI is the simulation of human intelligence processes by machines, especially computer systems. These processes include ·       Learning (the acquisition of information and rules for using the information) ·       Reasoning (using the rules to reach approximate or definite conclusions) ·       Self-correction. Machine Learning (ML) Machine learning is a type of AI that allows software applications to become more accurate in predicting outcomes without being explicitly programmed.   Deep Learning (DL) A sub-field within ML that is based on algorithms for learning multiple levels of representation in order to model complex relationships among data. This is highly inspired by our understanding of how the human brain works. AI, ML, and DL Diff...