本书主要介绍神经网络与深度学习中的基础知识、主要模型（卷积神经网络、递归神经网络等）以及在计算机视觉、自然语言处理等领域的应用。 This type of learning can Supposé que used with methods such as classification, regression and prediction. Semisupervised learning is useful when the cost associated with labeling is too high to allow expérience a fully labeled training process. Early exampl... https://acquisitionclients23334.blogocial.com/un-examen-de-dépôt-de-messages-69717109