https://github.com/white-devil09/deep-learning
This repository contains some deep learning projects.
https://github.com/white-devil09/deep-learning
deep-learning imageclassification pytorch
Last synced: 11 months ago
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This repository contains some deep learning projects.
- Host: GitHub
- URL: https://github.com/white-devil09/deep-learning
- Owner: White-Devil09
- Created: 2023-05-27T11:33:13.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2023-05-29T09:30:39.000Z (over 2 years ago)
- Last Synced: 2025-02-07T16:48:36.285Z (about 1 year ago)
- Topics: deep-learning, imageclassification, pytorch
- Language: Jupyter Notebook
- Homepage:
- Size: 58.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Deep learning implementation
This repository contains some deep learning implementation using PyTorch.
## Notebooks
[Tenosrs.ipynb](https://github.com/White-Devil09/Deep-Learning/blob/master/Tenosrs.ipynb) : In this Notebook we come to know about basic tensor operations and conversion of numpy arrays to tensors.
[Linear_regression.ipynb](https://github.com/White-Devil09/Deep-Learning/blob/master/Linear_regression.ipynb) : In this Notebook we use LinearRegression to classify temp,rainfall, humidity vs crop yeild of apples and oranges.
[Logistic_regression.ipynb](https://github.com/White-Devil09/Deep-Learning/blob/master/Logistic_regression.ipynb) : In this Notebook we use LogisticRegression to classify MNIST dataset.
[Feed_forward_NN.ipynb](https://github.com/White-Devil09/Deep-Learning/blob/master/Feed_forward_NN.ipynb) : In this Notebook we use Feed_forward_NN to train model for MNIST dataset. We use Feed_forward_NN to overcome the linear relation that we tackled in LogisticRegression.
[Convolutional_neural_network.ipynb](https://github.com/White-Devil09/Deep-Learning/blob/master/Convolutional_neural_network.ipynb) : In this Notebook we use CNN to classify CIFAR10 dataset .
[ResNets.ipynb](https://github.com/White-Devil09/Deep-Learning/blob/master/ResNets.ipynb) : In this Notebook we implemented ResNet9 architecture to classify CIFAR10 data set as this contains residual blocks which helps to gain more accuracy than regular CNNs.
[GAN.ipynb](https://github.com/White-Devil09/Deep-Learning/blob/master/GAN.ipynb) : In this Notebook we generate anime faces from random noise. to run this Notebook please download [anime-faces](https://www.kaggle.com/datasets/splcher/animefacedataset/download?datasetVersionNumber=3) dataset and place in folder 'data'.
[Transfer_learning.ipynb](https://github.com/White-Devil09/Deep-Learning/blob/master/Transfer_learning.ipynb) : In this Notebook we used pretrained ResNet34 model to train model instead of training from scartch.
[Fashion_MNIST.ipynb](https://github.com/White-Devil09/Deep-Learning/blob/master/Fashion_MNIST.ipynb) : In this Notebook we classified fashion mnist dataset.