Optimizers in Keras are tools used to update model parameters in order to minimize the loss function. During model training, the optimizer adjusts the weights of the model based on the gradient of the loss function. Keras offers many commonly used optimizers, such as Stochastic Gradient Descent (SGD), Adam, RMSprop, etc. Users can choose the appropriate optimizer based on their needs to train the model.<\/p>\n","protected":false},"excerpt":{"rendered":"
Optimizers in Keras are tools used to update model parameters in order to minimize the loss function. During model training, the optimizer adjusts the weights of the model based on the gradient of the loss function. Keras offers many commonly used optimizers, such as Stochastic Gradient Descent (SGD), Adam, RMSprop, etc. Users can choose the […]<\/p>\n","protected":false},"author":13,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[2901,960,3018,3011,3019],"class_list":["post-3973","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-adam-optimizer","tag-deep-learning","tag-keras-optimizers","tag-neural-network-optimization","tag-sgd"],"yoast_head":"\n