Neural networks are crucial for artificial intelligence, with two main types: feed-forward and feedback (recurrent) neural networks. Feed-forward networks, like CNNs, are used for image data, while RNNs are better for sequential data like text. This post compares neural network architectures, explores their components, and
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PrerequisitesWhat is a Neural Network ?Elements of Neural NetworksInputWeightActivation FunctionBiasLayersInput LayerHidden LayersOutput LayerHow these layers work together?Structure of Feed-forward Neural NetworksHow a Feed-forward Neural Network is trained?Structure of Feedback Neural NetworksHow a Feed-back Neural Network is trained?CNN vs RNNArchitecture examples: AlexNetLeNetLong short-term memory (LSTM)Gated recurrent units (GRU)Use casesForecasting currency exchange ratesRecognition of Partially Occluded ObjectsImage classificationText classificationTutorialsConclusionResourcesSort: