Tags > Qualcommdevelopment
- 05-27otherDynamic neural network which a few kinds are there?
- 05-27otherThe advantage of dynamic neural network?
- 05-27otherAnd the static and dynamic RNN RNN difference??
- 05-27otherWhat is a dynamic neural network?
- 05-27otherPyTorch figure dynamic performance is really poor?
- 05-27otherPytorch main advantage???
- 05-27otherCommon convolution neural network structure?
- 05-27otherWhat are common loss function?
- 05-27otherLoss function role in neural network?
- 05-27otherUse the custom model to training a data set, often can appear the effect not beautiful, what may be
- 05-20otherIn the deep learning network, how to solve with the deepening of network depth, gradient disappear?
- 05-20otherThe advantage of DenseNet?
- 05-20otherWhy DneseNet during practice very memory consumption?
- 05-20otherThe main difficulty in neural network?
- 05-20otherHow to determine the neural network layer and hidden layer neurons number
- 05-20otherNeural network layers, the more the better the results?
- 05-20otherGiven a general neural network and a set of training samples, whether there is a set of network edge
- 05-20otherMMDNN is a what?
- 05-20otherThe basic principles of model transformation
- 05-20otherTarget segmentation, target recognition, the difference between target detection and target tracking
- 05-20otherQualcomm release QNN SDK
- 05-14otherWhat is the purpose of unsupervised learning?
- 05-14otherWhat are the common unsupervised learning algorithm??
- 05-14otherUDL snpe part which neural network framework to support?
- 05-14otherFor pseudo - Siamese network loss should be used?
- 05-14otherWhat is the purpose of the Siamese network?
- 05-14otherNerve enhanced roughly steps?
- 05-14otherWhat is nerve enhancement?
- 05-14otherSample enhancement technique so much, what are the specific use of third-party libraries to help us
- 05-14otherData enhancement is to enhance the generalization ability of the model, the nature of it and some ot
- 05-14otherPixels that are widely used in the transform method?
- 04-30otherWhy can't we use the mean square error as a classification problem of loss function?
- 04-30otherIn the deep learning how to use the limited data to make the best effect?
- 04-30otherThe existing disadvantages of automatic data enhancement method (AutoAugment)?
- 04-30otherWhat data in deep learning enhancement method?
- 04-30otherHow to prove that Data (Data Augmentation) more valid?
- 04-30otherWhy YOLO V3 is under the condition of the mAP is the same as the SSD speed a lot?
- 04-30otherCompare the SSD, why YOLO V3 small object detection effect is so good?
- 04-30otherTwin neural network based on what is done?
- 04-30otherWhat is a pseudo twin neural network?
