Open Sourcing all my deep learning tutorials and cheet sheets.
- Keras for beginers: https://www.kaggle.com/aayushkubba/keras-basics-for-beginners
- Churn Prediction Basics: https://www.kaggle.com/aayushkubba/churn-prediction-basic-ann-keras-tutorial
- https://www.kaggle.com/aayushkubba/tensorflow-2-tutorial-get-started-in-deep-learning
- https://www.kaggle.com/aayushkubba/cifar-10-analysis-with-a-neural-network
- Basics: https://www.kaggle.com/aayushkubba/get-start-image-classification
- Advance using ensemble of CNNs: https://www.kaggle.com/aayushkubba/25-million-images-0-99757-mnist
- dvance Experiments: https://www.kaggle.com/aayushkubba/how-to-choose-cnn-architecture-mnist/edit
- Simple
- https://github.com/aayushkubb/Deep_Learning_Tutorial/blob/master/CAT%20vs%20DOGS%20-%20SImple%20Classifier.ipynb (Using dataflow)
- https://www.kaggle.com/aayushkubba/cats-vs-dogs-basic-cnn-tutorial (Direct usecase)
- Advance:
- Finetuned Models(Transfer Learning)