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Those AI models are more flexible in detecting, segmenting, tracking, searching and even reprogramming — and help outperform traditional convolutionalneuralnetwork -based models. billion in revenue for manufacturing operations worldwide by 2033, according to ABI Research. Generative AI is expected to add $10.5
billion by 2033, growing at a CAGR of 32.57%. Applications of Gradient Descent in Deep Learning It plays a crucial role in training neuralnetworks, including Deep NeuralNetworks (DNNs) and ConvolutionalNeuralNetworks (CNNs). The global Deep Learning market, valued at USD 69.9
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