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~~Use FER2013 for emotion detection: https://datasets.activeloop.ai/docs/ml/datasets/fer2013-dataset/
Then train CNN (conventional neural network) model using TensorFlow or PyTorch to classify emot…
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**Tier 4: Advanced Forgery Detection**
- Convolutional Neural Network (CNN) for Forgery Detection:
- Function: Uses deep learning to detect forgeries with high accuracy based on patterns that are…
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# Convolutional neural networks for solving PDEs | Arthur Bauville
Writing an iterative multigrid PDE solver as a convolutional neural network
[https://abauville.github.io/blog/neural%20networks/202…
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## Description:
Sudoku is a popular logic-based number puzzle. This project demonstrates how to use Convolutional Neural Networks (CNN) with TensorFlow to solve Sudoku puzzles by recognizing and fill…
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🔴 Dataset : https://www.kaggle.com/c/dog-breed-identification/data
🔴 Approach : Building and training Multil-class Dog Breed Classification deeplearning model to classify breed breed of a dog
p…
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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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hello, I input the patch size of the network during training as (50,150,150), and use the model parameters reserved for training for inference, and the patch size of the input network during inference…
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## To Do
- Layers for the neural network
Earlier layers: Transfer learning from ResNet
Later Layers: ( ( CONV + RELU + BATCH + DROPOUT) * N + POOL) * M
- Things we want to classify
- What is…
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Problem Description:
The objective is to develop a model that can automatically recognize human emotions from facial expressions in images. This problem is crucial in areas like human-computer intera…
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Problem Description:
Multiclass classification of facial emotions from grayscale images.
MODELS IMPLEMENTED
Convolutional Neural Network (for baseline model)
MobileNetV2 (for transfer-learning…