GitHub - amazon-archives/amazon-dsstne: Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
DSSTNE (pronounced "Destiny") is an open source software library for training and deploying recommendation models with sparse inputs, fully connected hidden layers, and sparse outputs. Models with weight matrices that are too large for a single GPU can still be trained on a single host. DSSTNE has been used at Amazon to generate personalized product recommendations for our customers at Amazon's sc
Home — TensorFlow
Deploy ML on mobile, microcontrollers and other edge devices
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
GitHub - aws-samples/machine-learning-samples: Sample applications built using AWS' Amazon Machine Learning.
IIR/iir_15.md at master · shun-tak/IIR
