Optimizers are algorithms or methods used to change the attributes of your neural network such as weights and learning rate in order to reduce the..
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Optimizers are algorithms or methods used to change the attributes of your neural network such as weights and learning rate in order to reduce the losses.
• Gradient Descent
• Stochastic Gradient Descent
• Mini-Batch Gradient Descent
• Momentum
• Nesterov Accelerated Gradient
• Adagrad
• AdaDelta
• Adam (Adaptive Moment Estimation)
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Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
