cnn:convolution + pooling + fully connection convolution: fully connected neural net vs convolutional net(压缩很多)? lenet 5(百度) Y.lecun L。botton Gradient-Based learning applied to document recognition
The present invention provides a basic computing unit for a convolutional neural network, and a computing method, the basic computing unit comprising a controller, an adder tree, an input buffer, several computing units, and an output buffer; each of the computing units comprises a block random ...
Convolutional neural networks Recurrent neural networks Download in one file: Neural Networks Book in PDF Neural Networks Book in CHM In the previous sections, we got acquainted with the architecture of a fully connected perceptron and constructed our first neural network model. We tested it in vari...
Auto-encoder(自动编码器),SAE(Stacked Auto-encoders堆叠自动编码器:Sparse Auto-encoders稀疏自动编码器、Denoising Auto-encoders去噪自动编码器、ContractiveAuto-encoders 收缩自动编码器),RBM(Restricted BoltzmannMachine 受限玻尔兹曼机),DBN(Deep BeliefNetwork 深度信念网络),CNN(Convolutional NeuralNetwork 卷积神经...
3. Convolutional Neural Networks(CNNs)卷积神经网络(Convolutional Neural Network,CNN),额具体就不必介绍了。CNNs我也写过一个理解笔记,从CV和NLP两个方面建模数据去整体理解其作用。当然,知乎上有的回答还解释的蛮好的,但貌似都缺乏对一些关键细节的解释,所以建议多看,看个并集再总结出自己的理解。
AtomNet: a deep convolutional neural network for bioactivity prediction in structure-based drug discovery. Preprint at https://arxiv.org/abs/1510.02855 (2015). Ma, J., Sheridan, R. P., Liaw, A., Dahl, G. E. & Svetnik, V. Deep neural nets as a method for quantitative structure–...
Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks, FPGA 2016. An OpenCL Deep Learning Accelerator on Arria 10, FPGA 2017. Improving the Performance of OpenCL-based FPGA Accelerator for Convolutional Neural Network, FPGA 2017. ...
a comprehensive guide to convolutional neural networks the complete guide to cvat—pros & cons 5 alternatives to scale ai yolo: real-time object detection explained the beginner’s guide to contrastive learning 9 reinforcement learning real-life applications mean average precision (map) explained: ...
Convolutional Neural Network Inception-v3: A Machine Learning Approach for Leveling Short-Range Rainfall Forecast Model from Satellite Image. In International Conference on Swarm Intelligence; Springer: Berlin/Heidelberg, Germany, 2019; pp. 105–115. [Google Scholar] Hussein, E.A.; Thron, C.; ...
A convolutional neural networkis one of the deep neural networks, which operates by using the mathematical function of convolution. This function can be described as a multiplication of two functions. To achieve this, the network applies convolution filters, also known as kernels. The filters are ...