Neural Nets in the Tasks of Analyses and Synthesis of the Graphic ObjectsЮрій ЛяшенкоРаїсаВласюк
WaveRNN一般作为Tacotron的Vocoder来合成音频Efficient Neural Audio Synthesispdflink Tacotron第一个端对端的TTS神经网络模型 vocoder 需要改进link Tacotron 2https://github.com/NVIDIA/tacotron2 中文语音合成https://github.com/lturing/tacotronv2_wavernn_chinese ...
A pattern recognition approach to geophysical inversion using neural nets. Geophys. J. Int. 1991, 105, 629–648. [Google Scholar] [CrossRef] [Green Version] Spichak, V.; Popova, I. Artificial neural network inversion of magnetotelluric data in terms of three-dimensional earth macroparameters....
“Neural nets and AI have incredible scope, and you can use them to aid human decisions in any sector. Deep learning wasn’t the first solution we tested, but it’s consistently outperformed the rest in predicting and improving hiring decisions. We trained our 16-layer neural network on mill...
Recently, DL methods, specially convolutional neural networks (CNNs, also known as ConvNets) have gained lots of attentions to CAD for MGs as they help overcome CAD systems’ limitations [2, 8, 9, 11]. CNNs achieve higher detection accuracy than CAD models, and help radiologists provide ...
Infusing Domain Knowledge into nnU-Nets for Segmenting Brain Tumors in MRI. In Proceedings of the International MICCAI Brainlesion Workshop, Singapore, 18–22 September 2022; pp. 186–194. [Google Scholar] Litjens, G.; Kooi, T.; Bejnordi, B.E.; Setio, A.A.A.; Ciompi, F.; Ghafoor...
Recently, DL methods, specially convolutional neural networks (CNNs, also known as ConvNets) have gained lots of attentions to CAD for MGs as they help overcome CAD systems' limitations [2, 8, 9, 11]. CNNs achieve higher detection accuracy than CAD models, and help radiologists provide ...
一个很6的模型。输入一堆文本,它会输出一堆长得很像的新的文本。可以用来写小说、写数学书、甚至编曲(输入ascii的谱子)…… 但是输出太糙了。还是需要大量学习。 看过的三篇文章,转一下。图片就不转了。 2016 12 4 12:17:53 更新 还能输出markdown、甚至论文abstract、U
The proposed stress-induced evolutionary synthesis\napproach is evaluated on a variety of different deep neural network\narchitectures (LeNet5, AlexNet, and YOLOv2) on different tasks (object\nclassification and object detection) to synthesize efficient StressedNets over\nmultiple generations. ...
AntoniouA.Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium onD. Bhattacharya and A. Antoniou, “Real-time synthesis of FIR filters in frequency domain by feedback neural nets”, Proc. of the 27th MSCAS, 1994.