Core concepts
Neural NetworksArtificial Neural NetworksNeurons and WeightsBiasActivation FunctionsForward PropagationBackpropagationEpochsBatch SizeLoss FunctionGradient DescentOverfittingUnderfitting
Satyam GajjarField notes
Concepts across deep learning, machine learning, Python and web engineering, organized as a quick view into the technical vocabulary behind my work.
Neural-network concepts and architectures I have learned and explored.
Libraries, techniques and model-development concepts I work with.
Frameworks and utilities used to create applications, services and automation.
Technologies and concepts used to build, deploy and maintain modern websites.