Explainable deep learning models for healthcare - CDSS 3 (Coursera) View more details AI Capstone Project with Deep Learning (Coursera) View more details Building Deep Learning Models with TensorFlow (Coursera) The majority of data in the world is unlabeled and unstructured. Shallow neural networks...
Use a pretrained model as a feature extractor by using the layer activations as features. Then use these features to train another machine learning model, such as a support vector machine (SVM). Use a pretrained model as the foundation for another type of model. For example, use a convolutio...
1classMNIST(paddle.nn.Layer):2def__init__(self):3super(MNIST, self).__init__()4#定义一层全连接层,输出维度是15self.fc = paddle.nn.Linear(in_features=784, out_features=1)67defforward(self, inputs):8outputs =self.fc(inputs)9returnoutputs1011#训练配置,并启动训练过程12deftrain(model)...
2、Contribution: 本文作者提出使用排序后的TopN个item的信息(local ranking context),来对最终的排序结果进行调整。主要做法是通过使用GRU模型来学习TopN的item形成的local ranking context信息,然后用于rerank; 3、model 1. DLCM模型主要包括3步: ①传统LTR(Learning to rank)模型,得到精排的TopN个item; ②使用GRU...
Train Speech Command Recognition Model Using Deep Learning Create deep learning network for text data. Classify Text Data Using Deep Learning Generate Text Using Deep Learning Deep Learning Layers Use the following functions to create different layer types. Alternatively, use the Deep Network Designer...
BEIJING, May 5 (Xinhua) -- Chinese researchers have proposed a novel hybrid deep-learning model to address streamflow forecasting for water catchment areas at a global scale, with a view to improving flood prediction, according to a recent research article published in the journal The Innovation....
Deep Learning-深度学习(三) 深度学习入门 1、NumPy案例运用 1.1 计算激活函数 激活函数:就像之前所学习的那样,所有的处理都还是基于线性的,然是在实际的运用当中是具有很多非线性的运算,并不是简单的加权和,而是各种数据直接还会相互影响,互相产生新的数据,从而得到新的数据。对于这些过程就需要激活函数来达到这种...
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[2009 Thesis] Learning Deep Generative Models.pdf [2009] Learning Deep Architectures for AI.pdf [2013 DengLi Review] Deep Learning for Signal and Information Processing.pdf http:///tutorial/deeplearning.pdf Paper List: [1996 Nature] sparse coding.pdf ...
Common Deep Learning Optimizations Knowledge Distillation As the name suggests, the goal of knowledge distillation is to take functionality from one model and move it into another. By leveraging a model that is already a working solution to a problem, we can create a similar, less compl...