Pothole image segmentation using YOLOv9.
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Aug 31, 2024 - Jupyter Notebook
#
dropout
Here are 306 public repositories matching this topic...
Binary classification using Artificial Neural Networks with dropout and regularization to evaluate performance in a health-related dataset.
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Apr 29, 2025 - Jupyter Notebook
Customized Caffe for pseudo-random dropout
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Jan 4, 2018 - C++
Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".
deep-learning algorithms numpy dropout batch-normalization mlp rmsprop adam-optimizer softmax-layer cross-entropy-loss nadam sigmoid-activation relu-activation
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Jan 29, 2023 - Python
Lab Sessions of the Deep Learning course - Master's degree in Artificial Intelligence at UniBo
deep-learning tensorflow keras transformers cnn recurrent-neural-networks feature-extraction dropout rnn segmentation convolutional-neural-networks transfer-learning data-augmentation keras-tensorflow fine-tuning overfitting fashion-mnist-dataset
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May 12, 2023 - Jupyter Notebook
A web app where user can draw Bengali digit and the AI model can detect handwritten digit and predict the digit.
flask ai gunicorn pytorch dropout heroku-deployment cnn-classification relu pytorch-implementation bengali-digit
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May 1, 2023 - Python
Neural Network aided diagnosis of Schizophrenia via patient-centered text Data
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Dec 13, 2022 - Python
Pistachios are nutritious nuts that are sorted based on the shape of their shell into two categories: Open mouth and Closed mouth. The open-mouth pistachios are higher in price, value, and demand than the closed-mouth pistachios. Because of these differences, it is considerable for production companies to precisely count the number of each kind.
tensorflow keras seaborn dropout matplotlib preprocessing callbacks vgg16 image-augmentation rmsprop dense imagedatagenerator earlystopping batchnormalization modelcheckpoint split-folders model-layer globalaveragepooling2d
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Jul 15, 2024 - Jupyter Notebook
Exploring dropout, batch normalization, and regularization techniques to prevent overfitting in neural networks
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Feb 5, 2026 - Jupyter Notebook
A systematic experiment on dropout placement in stacked LSTMs for stock price forecasting, with full reproducibility
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Jun 1, 2026 - Jupyter Notebook
Wasserstein dropout (W-dropout) is a novel technique to quantify uncertainty in regression networks. It is fully non-parametric and yields accurate uncertainty estimates - even under data shifts.
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Aug 17, 2022 - Python
Image classifiaction done on cifar 10 using deep learning (CNN)
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Feb 20, 2022 - Jupyter Notebook
My Thesis/Dissertation for the MPhil Data Intensive Science, in which I researched Scaling Laws of Neural Networks. This involved independently reproducing a paper on the topic and extending its findings with my own original research.
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Jul 19, 2025 - Jupyter Notebook
This project classifies SMS messages as spam or ham using a feedforward neural network in PyTorch with a bag-of-words representation. It includes train/validation/test splits, performance evaluation (accuracy, sensitivity, specificity, precision), and saving the trained model and vectorizer for reuse in inference.
python deep-learning scikit-learn regression pandas pytorch dropout classification matplotlib pickle gradio sms-spam-detection leaky-relu adam-optimizer sms-spam sms-spam-classification dropout-layers gradio-interface binary-cross-entropy-loss gradio-app
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Oct 13, 2025 - Python
MNIST handwritten digit classification using a Multilayer Perceptron neural network with TensorFlow and Keras.
python machine-learning deep-learning neural-network tensorflow keras jupyter-notebook dropout mnist supervised-learning classification mlp hyperparameter-tuning early-stopping
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Mar 20, 2026 - Jupyter Notebook
Implementation of DropBlock: A regularization method for convolutional networks in Caffe.
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Nov 20, 2018 - C++
Digitally recognizing numbers in real life images has been a tough problem in artificial intelligence for many decades. The problem stems from the seemingly endless variations on fonts, colors, spacings, locations etc that these numbers can take within an image.
android machine-learning deep-neural-networks deep-learning neural-network image-processing android-application artificial-intelligence dropout neural-networks deep-learning-algorithms image-classification artificial-neural-networks image-recognition regularization pooling max-pooling
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Jul 8, 2018 - PureBasic
2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.
python machine-learning dropout neural-networks classification convolutional-neural-networks support-vector-machines multi-label-classification convolutional radial-basis-function backpropagation-algorithm softmax tanh pooling sigmoid-function relu digit-classifier lecun
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Feb 28, 2020 - Python
Lending club project and deep learning codes
deep-neural-networks deep-learning jupyter-notebook python3 seaborn recurrent-neural-networks dropout convolutional-neural-networks transfer-learning optimiser regression-models hyperparameter-tuning normalisation activation-functions matplotlib-pyplot classification-models tensorflow-keras k-fold-cross-validation
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Sep 24, 2025 - Jupyter Notebook
A deep learning project to recognize emotions from speech using a CNN and the RAVDESS dataset.
deep-learning jupyter-notebook cnn pytorch feature-extraction dropout batch-normalization classification ensemble-learning chroma human-computer-interaction mfcc audio-processing model-evaluation cnn-classification speech-emotion-recognition mel-spectrogram ravdess ravdess-dataset
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May 14, 2025 - Jupyter Notebook
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