榜单
服务器优惠
AI论文
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fluid.optimizer
fluid.optimizer Adadelta Adagrad AdagradOptimizer Adam Adamax AdamaxOptimizer AdamOptimizer DecayedAdagrad DecayedAdagradOptimizer Ftrl FtrlOptimizer LarsMomentum LarsM... -
FAQ
FAQ General Technical Questions General What is NATS? What does the NATS acronym stand for? JetStream and NATS Streaming? What language is NATS written in? Who maintains NAT... -
Mixed Precision
Mixed precision training A little bit of theory What’s half precision? Problems with half-precision: The solution: mixed precision training Dynamic loss scaling class MixedPr... -
基与字符级RNN(Char-RNN）的人名生成
基与字符级RNN(Char-RNN）的人名生成 数据准备 创建网络 训练 训练前的准备 网络的训练 绘制损失 网络采样 练习 基与字符级RNN(Char-RNN）的人名生成 译者：@jianchengss 作者 : Sean Robertson 在 上一个教程 里我们使用RNN把名字分类到它所属的语言中, 这次我们改变... -
Core Layers
Dense Activation Dropout Flatten Input Reshape Permute RepeatVector Lambda ActivityRegularization Masking SpatialDropout1D SpatialDropout2D SpatialDropout3D [source]... -
1.5. Stochastic Gradient Descent
1.5. Stochastic Gradient Descent 1.5.1. Classification 1.5.2. Regression 1.5.3. Stochastic Gradient Descent for sparse data 1.5.4. Complexity 1.5.5. Stopping criterion 1.5.6. ... -
FAQ
FAQ General Technical Questions General What is NATS? What does the NATS acronym stand for? JetStream and NATS Streaming? What language is NATS written in? Who maintains NAT... -
FAQ
FAQ General Technical Questions General What is NATS? What does the NATS acronym stand for? What does STAN stand for? What language is NATS written in? Who maintains NATS? ... -
Normalization
Why normalize? Available preprocessors NormalizerMinMaxScaler NormalizerMinMaxScaler load save Normalizer ImageFlatteningDataSetPreProcessor MinMaxStrategy MinMaxStrategy ... -
1.1 Story Time
1.1 Story Time Lightning Never Strikes Twice Trust Fall Fermi’s Paperclips 1.1 Story Time We will start with some short stories. Each story is an admittedly exaggerated call...