This API is based off of template meta-programming to optimize efficiency. Therefore, much of this API is based on the assumption that a network architecture will be defined at compile time rather than runtime. This has caused most of the class to become static, therefore you may want totyp...
AITemplate highlights include: High performance: close to roofline fp16 TensorCore (NVIDIA GPU) / MatrixCore (AMD GPU) performance on major models, including ResNet, MaskRCNN, BERT, VisionTransformer, Stable Diffusion, etc. Unified, open, and flexible. Seamless fp16 deep neural network models...
官方代码 Torch:https://github.com/facebookresearch/ResNeXt Caffe 代码:https://github.com/terrychenism/ResNeXt 1 Introduction 视觉识别研究正从特征工程向网络工程过渡。神经网络在各种识别任务中大行其道。研究人员的精力主要用于网络架构的设计。 VGG 网络展示了一种简单有效的策略来构建深度网络:组合相同形状的...
“fast”. In our specific problem, exploiting a network architecture can reveal whether there is enough information in the data to classify the sub-sequences into slow and fast with high accuracy. To perform this task, we used two different types of data: vectors and sequences. In fact, ...
Residual network ResNet50V2 is one of the fastest object detection techniques for face detection using CNN. Inception-ResNetV2 is a convolutional neural architecture based on the Inception family of architectures that includes residual connections (which replace the filter concatenation stage in the ...
nndl.github.io Neural Network and Deep Learning Course https://nndl.github.io 空文件 简介 《神经网络与深度学习》 Neural Network and Deep Learning 展开 收起 暂无标签 /hughes2017/nndl.github.io HTML 保存更改 取消 发行版 暂无发行版 贡献者(6) ...
《神经网络与深度学习》 Neural Network and Deep Learning. Contribute to fanjing8/nndl.github.io development by creating an account on GitHub.
DeepBLAST is a neural-network based alignment algorithm that can estimate structural alignments. And it can generate structural alignments that are nearly identical to state-of-the-art structural alignment algorithms. Installation DeepBLAST can be installed from pip via pip install deepblast To inst...
If you would like to report bugs or push any changes, you can do this on ourgithub repository. License Sinabs is published under AGPL v3.0. See the LICENSE file for details. Contributing to Sinabs Checkout thecontributingpage for more info. ...
This neural network can be improved in many ways: Tuning hyperparameters: find the optimal hyperparameters that gives the best prediction Backtesting: Make the backtesting system more robust (I have left certain important aspects out for you to figure). Maybe include buying and shorting?