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# Objective
a web app where you upload a picture and it detects the emotions on the faces! We can build this using a Convolutional Neural Network (CNN) trained to recognize emotions. To jumpstart t…
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# Ligand-based model
## Graph
Featurization:
- [x] Running
Model:
- [ ] Running
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Hello,
I would like to integrate some classic CNN, e.g. AlexNet, VGG16, into this project. Take AlexNet as an example, I discard the last layer of original AlexNet, and use the second last layer to…
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## 1. Fully Connected (FC) layer 의 문제점
> 1-dimension 데이터만 입력받을 수 있다
> ex) 32x32x3 image -> stretch to 3072x1
=> 말인 즉슨, 3-dimension 데이터를 **flat 하게 해서 입력**해야한다.
= > 결국 3-dimension 데이터의 **공간적 정보가 소…
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I want to add the following features:
1. [x] Max Pooling
2. [x] Padding
3. [x] Change the parameters for the Convolutional3d layers to be more ergonomic.
5. [ ] Add an option to make the feature…
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Anyone has interest to utilize the sparsity to accelerate DNNs?
I am working on the fork https://github.com/wenwei202/caffe/tree/scnn and currently, on average, achieve ~5x CPU and ~3x GPU layer-wi…
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### Description
A deep learning model to classify images using TensorFlow and Keras. Use a pre-trained model or build convolutional neural network (CNN).
### Screenshots
_No response_
### Checklis…
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✔️ Involved training neural networks to accurately classify facial expressions using annotated facial image datasets, models were constructed and trained with PyTorch's deep learning capabilities.
✔️…
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SQL injection is one of the most popular online security threats, it may not be that relevant now but is still a thing. We can develop a Convolutional Neural Network model to detect SQL injection.
CN…