Here are 70 public repositories matching this topic... Language:All Sort:Most stars ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network Star4.4k Tools to Design or Visualize Architecture of Neural Network toolstensorflowkerascnnmachinelearningresnetalexnetdeeplearningsemantic-segmentati...
Hassan Radoine (2017) Architecture in context: designing in the Middle East [i] [d] Hans Rämö (2017) Time and temporality in online corporate pictorials [d] Joe Ravetz & Amanda Ravetz (2017) Seeing the wood for the trees: Social Science 3.0 and the role of visual thinking [d] An...
In the first part of this article, I’ll share with you a cautionary tale on the importance of debugging and visually verifying that your convolutional neural network is “looking” at the right places in an image. From there, we’ll dive into Grad-CAM, an algorithm that can be...
Tools to Design or Visualize Architecture of Neural Network - ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Debugger architecture Tutorials Tutorial videos Example notebooks Advanced demos and visualization Debugging training jobs Adapting your training script to register a hook PyTorch TensorFlow Launch training jobs with Debugger using the SageMaker Python SDK Configuring SageMaker Debugger to save tensors Configure...
Reconstruction of the 3D angioarchitecture of the hippocampus in normal rat brain by SR. (a, b) By SR-ILPCI reconstruction, the spatial structure distribution of the right hippocampal three-dimensional network was extracted from the whole brain (a) and accurately outlined (b) (scale bar, 600...
Works with nearly any Convolutional Neural Network architecture Can be used to visually debug where a network is looking in an image Grad-CAM works by (1) finding the final convolutional layer in the network and then (2) examining the gradient information flowing into that layer. ...
Visualkeras is a Python package to help visualize Keras (either standalone or included in tensorflow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a gra...
101 7.25 Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies 7, 8, 7, 7 Accept (Oral) 102 7.25 Federated Learning Based on Dynamic Regularization 7, 7, 7, 8 Accept (Oral) 103 7.25 Unlearnable Examples: Maki...
73 7.25 Locally Free Weight sharing for Network Width Search 7, 8, 6, 8 74 7.25 Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies 6, 8, 8, 7 75 7.25 Unlearnable Examples: Making Personal Data Unexploita...