Use of convolutional code for ECC instead of CRC?
Hey,
I know that convolutional coding is used often in telecomunnications, but why isn't it used for error correction say, in memory storage? Seems to me that the encoding could be low latency and could scale well. Also if the impulse response is designed cleverly, the error detection/correction capabilities are pretty good. So what am I missing? maybe the decoding is too difficult? I know that Viterbi algorithm uses comparators and adders, so maybe it is too slow for large chunks of data?
Cheers
subwAI - I used a convolutional neural network to train an AI that plays Subway Surfers (code and demo in comment) v.redd.it/80u7ltnl32p71
Convolutional Neural Network from Scratch | Mathematics & Python Code youtu.be/Lakz2MoHy6o
[D] How Graph Convolutional Networks work (with code)
I published a new blog post that implements and experiments with Graph Convolutional Networks. In it, I show how even untrained GCNs operating on featureless data can still find meaningful community structure. I then study how adding features and training model parameters change the structure of the embeddings.
This video explains exactly how convolutional neural networks work, with a cool implementation. The code is written in Python and implemented with Keras. youtube.com/watch?v=eyKwP…
This video explains exactly how convolutional neural networks work, with a cool implementation. The code is written in Python and implemented with Keras. youtube.com/watch?v=eyKwP…
Robert McEliece is dead. He was best known for his work on algebraic error-correcting codes, in particular convolutional codes, which were used in deep-space communication (Voyager, Galileo). Furthermore, he also developed the McEliece cryptosystem which is a candidate for post-quantum cryptography. caltech.edu/about/news/ro…
This video explains exactly how convolutional neural networks work, with a cool implementation. The code is written in Python and implemented with Keras. youtube.com/watch?v=eyKwP…
Convolutional Neural Network (CNN): Graphical Visualization with Code Explanation analyticssteps.com/blogs/…
Convolutional Neural Network (CNN): Graphical Visualization with Code Explanation analyticssteps.com/blogs/…
Convolutional Neural Network (CNN): Graphical Visualization with Code Explanation analyticssteps.com/blogs/…
This video explains exactly how convolutional neural networks work, with a cool implementation. The code is written in Python and implemented with Keras. youtube.com/watch?v=eyKwP…
Convolutional Neural Network (CNN): Graphical Visualization with Code Explanation analyticssteps.com/blogs/…
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications (with code and data) arxiv.org/abs/1810.12186
An intuitive explanation of convolutional neural networks with code. medium.com/@eternalzer0da…
This video explains exactly how convolutional neural networks work, with a cool implementation. The code is written in Python and implemented with Keras. youtube.com/watch?v=eyKwP…
This video explains exactly how convolutional neural networks work, with a cool implementation (a handwritten digit calculator). The code is written in Python and implemented with Keras. youtube.com/watch?v=eyKwP…
Influence of Reed-Solomon on convolutional codes
Hello, I have been trying to simulate different Combinations of Reed-Solomon Convolutional codes using Matlab.
For some combinations, I have found that the BER converges towards 10^-2.
Is that normal ? or did I miss something while simulating?
Thanks!
This video explains exactly how convolutional neural networks work, with a cool implementation. The code is written in Python and implemented with Keras. youtube.com/watch?v=eyKwP…
Here is my pytorch implementation of the model described in the paper DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (https://arxiv.org/pdf/1606.00915.pdf) Source code: https://github.com/vietnguyen91/Deeplab-pytorch
Here is my pytorch implementation of the model described in the paper DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (https://arxiv.org/pdf/1606.00915.pdf) Source code: https://github.com/vietnguyen91/Deeplab-pytorch
This video explains exactly how convolutional neural networks work, with a cool implementation. The code is written in Python and implemented with Keras. youtube.com/watch?v=eyKwP…
Here is my pytorch implementation of the model described in the paper DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (https://arxiv.org/pdf/1606.00915.pdf) Source code: https://github.com/vietnguyen91/Deeplab-pytorch
Here is my pytorch implementation of the model described in the paper DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (https://arxiv.org/pdf/1606.00915.pdf) Source code: https://github.com/vietnguyen91/Deeplab-pytorch
How Convolutional Codes Correct Errors quiet.github.io/quiet-blo…
[P] Semantic Segmentation using Fully Convolutional Networks over the years + PyTorch Code meetshah1995.github.io/se…
[R] Deeper Depth Prediction with Fully Convolutional Residual Networks (paper + code + TensorFlow & MatConvNet models) github.com/iro-cp/FCRN-De…
Here is my pytorch implementation of the model described in the paper DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (https://arxiv.org/pdf/1606.00915.pdf) Source code: https://github.com/vietnguyen91/Deeplab-pytorch
Can anyone suggest me a good tutorial/video to learn Convolutional neural networks from scratch?. I want to code Convolutional neural networks in python without using any framework. Suggestions are welcome.
Can anyone suggest me a good tutorial/video to learn Convolutional neural networks from scratch?. I want to code Convolutional neural networks in python without using any framework. Suggestions are welcome.
Here is my pytorch implementation of the model described in the paper DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (https://arxiv.org/pdf/1606.00915.pdf) Source code: https://github.com/vietnguyen91/Deeplab-pytorch
Here is my pytorch implementation of the model described in the paper DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (https://arxiv.org/pdf/1606.00915.pdf) Source code: https://github.com/vietnguyen91/Deeplab-pytorch
Here is my pytorch implementation of the model described in the paper DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (https://arxiv.org/pdf/1606.00915.pdf) Source code: https://github.com/vietnguyen91/Deeplab-pytorch
How to visualize convolutional features in 40 lines of code towardsdatascience.com/ho…
Here is my pytorch implementation of the model described in the paper DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (https://arxiv.org/pdf/1606.00915.pdf) Source code: https://github.com/vietnguyen91/Deeplab-pytorch
How Convolutional Codes Correct Errors quiet.github.io/quiet-blo…
[P] Source code available for "Fully Convolutional Instance-aware Semantic Segmentation" from MSRA github.com/msracver/FCIS
Here is my pytorch implementation of the model described in the paper DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (https://arxiv.org/pdf/1606.00915.pdf) Source code: https://github.com/vietnguyen91/Deeplab-pytorch
Here is my pytorch implementation of the model described in the paper DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (https://arxiv.org/pdf/1606.00915.pdf) Source code: https://github.com/vietnguyen91/Deeplab-pytorch
Here is my pytorch implementation of the model described in the paper DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (https://arxiv.org/pdf/1606.00915.pdf) Source code: https://github.com/vietnguyen91/Deeplab-pytorch
Texture Synthesis Using Convolutional Neural Networks (paper+code) gitxiv.com/posts/phaj4Fxy…
