GitHub - HilalOzdemirBuyukasik/Deep-Learning: A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
Beijing.csv		Beijing.csv
Beijing_RNN_Forecasting.ipynb		Beijing_RNN_Forecasting.ipynb
CNN_with_cifar10.ipynb		CNN_with_cifar10.ipynb
IMDB_BiLSTM_Sentiment_Analysis.ipynb		IMDB_BiLSTM_Sentiment_Analysis.ipynb
Keras_Fundamentals_with_NN.ipynb		Keras_Fundamentals_with_NN.ipynb
diabetes.csv		diabetes.csv

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A collection of deep learning projects demonstrating RNNs, BiLSTMs, CNNs, and basic neural networks applied to time series forecasting, text sentiment analysis, image classification, and tabular data tasks, with examples of data preprocessing, model training, evaluation, and visualization.

tensorflow numpy scikit-learn keras nn cnn rnn matplotlib bilstm