Plant leaf Disease Classification with CNN (PyTorch)
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May 26, 2026 - Jupyter Notebook
#
crossentropyloss
Here are 19 public repositories matching this topic...
This project uses a CIFAR dataset-trained convolutional neural network to classify input images, whether it is a pre-processed image from the dataset or a user-supplied image via URL, with the functionality to assign a confidence score to the prediction.
python machine-learning neural-network tensorflow image-classification cnn-keras urllib adam-optimizer crossentropyloss
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Jan 19, 2023 - Jupyter Notebook
Human Scream Detection and Analysis for Controlling Crime Rate using Machine Learning and Deep Learning
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Feb 25, 2024 - Jupyter Notebook
My extensive work on Multiclass Image classification based on Intel image classification dataset from Kaggle and Implemented using Pytorch 🔦
pytorch kaggle image-classification xavier-initializer elu-activation adam-optimizer pytorch-cnn sgd-optimizer kaiminghe pytorch-implementation intel-image-classification relu-activation crossentropyloss nll-loss
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Dec 12, 2021 - Jupyter Notebook
his project is about building a artificial neural network using pytorch library. I am sharing the code and output for my project. Though there are many libraries out there that can be used for deep learning i like the pytorch most. As a python programmer, one of the reasons behind my liking is pythonic behaviour of pytorch.
python ai neural-network optimizer torch python3 pytorch artificial-intelligence neural-networks classification artificial-neural-networks softmax adam-optimizer categorical-cross-entropy categorical-data activation-functions torchvision relu-activation crossentropyloss
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Jul 3, 2023 - Python
PyTorch implementation of polyloss and cyclic focal loss and their performance with sample dataset/s.
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Aug 16, 2022 - Jupyter Notebook
Builds a review classification model using LSTM with PyTorch
sentiment-analysis pytorch lstm training-loss validation-loss model-pipeline crossentropyloss model-evaluation-metrics
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Jun 2, 2025 - Jupyter Notebook
This repository contains code to train and evaluate a neural network model on a subset of the Fashion MNIST dataset using PyTorch. The model achieves remarkable accuracy after 100 epochs of training.
training neural-network evaluation image-processing pytorch image-classification accuracy artificial-neural-networks dataloader sgd-optimizer fashion-mnist-dataset crossentropyloss dataset-class dataset-normalization
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Apr 8, 2025 - Jupyter Notebook
learning python day 11
neural-network numpy feedforward-neural-network loss-functions softmax relu-activation crossentropyloss hiddenlayer
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Apr 25, 2024 - Jupyter Notebook
A CNN is a kind of network architecture for deep learning algorithms and is specifically used for image recognition and tasks that involve the processing of pixel data. This repository contains the code for CNN with a categorical classification dataset.
python torch python3 artificial-intelligence dataset convolutional-layers artificial-neural-networks output convolutional-neural-networks pooling-layers loss-functions fully-connected-network adam-optimizer activation-functions torchvision crossentropyloss
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Jul 23, 2023 - Python
This GitHub laboratory contains PyTorch classification loss functions, Jupyter notebooks, and documentation for researchers and machine learning enthusiasts interested in deep learning and PyTorch.
machine-learning deep-learning pytorch classification cifar10 loss-functions fashion-mnist torchvision crossentropyloss torchvision-datasets
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May 23, 2023 - Jupyter Notebook
In this repository is a script for easy building and deploying a neural network with Pytorch. The MNIST dataset will be downloaded and used. The inputs will be normalised.
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Jan 10, 2025 - Python
Modern Information Retrieval Project
python search-engine crawler information-retrieval neural-network clustering tensorflow naive-bayes classification mir kmeans-clustering ir page-rank fasttext-embeddings pythorch crossentropyloss hirarchical-clustering modern-information-retrieval
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Apr 3, 2024 - Jupyter Notebook
A brief explanation on Pytorch CrossEntropyLoss written really quick in Jupyter Notebook.
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Dec 24, 2020 - Jupyter Notebook
End‑to‑end simulated EEG signal decoding with feature engineering and transformer models.
signal-processing eeg transformer feature-engineering spectral-analysis lstm-neural-networks timedomain adamoptimizer crossentropyloss pythonmachinelearning bandpower neuraldecoding attentionmechanisms researchpipeline
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Mar 23, 2026 - Jupyter Notebook
Using the features in the provided dataset, creating a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.
deep-learning tensorflow sklearn pandas keras-neural-networks sigmoid leaky-relu colab-notebook standardscaler keras-tuner crossentropyloss
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Feb 5, 2023 - Jupyter Notebook
Complete GPT-2 architecture from the ground up including tokenization, embeddings, transformer layers, attention, and training trained on The Verdict novel dataset,120 million parameters,768 dimension and 12 heads
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Oct 28, 2025 - Jupyter Notebook
This project demonstrates the application of Convolutional Neural Networks (CNNs) for the classification of brain tumors from medical imaging data.
classification imagenet segmentation convolutional-neural-networks transfer-learning prediction-model resnet-50 braintumour crossentropyloss
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Sep 15, 2025 - Jupyter Notebook
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