榜单
服务器优惠
AI论文
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Android Overview
Using Deep Learning & Neural Networks in Android Applications Prerequisites Configuring Your Android Studio Project Starting an Asynchronous Task Creating a Neural Network Cre... -
Sequential Model
Getting started with importing Keras Sequential models Loading your Keras model Getting started with importing Keras Sequential models Let’s say you start with defining a simp... -
Constraints
Supported constraints Supported constraints All Keras constraints are supported: max_norm non_neg unit_norm min_max_normMapping Keras to DL4J constraints happens in KerasCon... -
Activations
Available activations Available activations We support all Keras activation functions , namely: softmax elu selu softplus softsign relu tanh sigmoid hard_sigmoid linearThe ma... -
Parameter Server
Distributed training with gradients sharing Setting up Your Cluster Cluster Setup Network Environment Netmask Dependencies Example Configuration: Effective Scalability Perfo... -
Regularizers
Supported regularizers Supported regularizers All [Keras regularizers] are supported by DL4J model import: l1 l2 l1_l2Mapping of regularizers can be found in KerasRegularizer... -
Losses
Supported loss functions Supported loss functions DL4J supports all available Keras losses (except for logcosh ), namely: mean_squared_error mean_absolute_error mean_absolut... -
Overview
Hyperparameter Optimization Arbiter Usage Hyperparameter search space MultiLayerSpace and ComputationGraphSpace JSON serialization. Specifying a data source Specifying a mod... -
Cheat Sheet
Quick reference Layers Feed-Forward Layers Output Layers Convolutional Layers Recurrent Layers Unsupervised Layers Other Layers Graph Vertices Input Pre Processors Iterati... -
Visualization
Contents Visualizing Network Training with the Deeplearning4j Training UI Deeplearning4j UI: The Overview Page Deeplearning4j UI: The Model Page Deeplearning4J UI and Spark Tra...