Web作者提出的双流膨胀3D卷积网络 (I3D),该网络是对一个非常深的图像分类网络中的卷积和池化kernel从2D扩展到了3D,来无缝的学习时空特征。 并且模型I3D在Kinetics预训之后,I3D在基准数据集HMDB-51和UCF-101达到了80.9%和98.0%的准确率。 在ImageNet上训练好的深度结构网络可以用于其他任务,同时随着深度结构的改进,效果也越来越好。 … WebMindSpore mindspore.boost ¶ Boost provide auto accelerating for network, such as Less BN, Gradient Freeze, Gradient accumulation and so on. Note This feature is a beta …
mindspore: Docs, Community, Tutorials, Reviews Openbase
Webproperty requires_grad¶. Return whether the parameter requires gradient. set_data (data, slice_shape=False) [source] ¶. Set Parameter’s data. Parameters. data (Union[Tensor, int, float]) – new data.. slice_shape – If slice the parameter is set to true, the shape is not checked for consistency.Default: False. Returns. Parameter, the parameter after set data. Webmindspore.Tensor ¶ class mindspore.Tensor(input_data=None, dtype=None, shape=None, init=None) [source] ¶ Tensor is used for data storage. Tensor inherits tensor object in C++. Some functions are implemented in C++ and some functions are implemented in Python. Parameters how to create a clickable link in word
mindspore: Docs, Community, Tutorials, Reviews Openbase
WebMindConverter is a migration tool to transform the model file of PyTorch(ONNX) or TensorFlow(PB) to MindSpore. The model file contains model structure definition(network) and weights information(weights), which will be transformed into model scripts(model.py) and weights file(ckpt) in MindSpore. Quick Starts¶ Webmindspore.nn¶ Neural Networks Cells. Pre-defined building blocks or computing units to construct Neural Networks. class mindspore.nn. Accuracy(eval_type='classification')[source]¶ Calculates the accuracy for … WebMindSpore provides Pipeline-based Data Engine and achieves efficient data preprocessing through Dataset and Transforms, where Dataset is the start of Pipeline and is used to … microsoft office 365 smtp authentication