Open Sourcing all my deep learning tutorials and cheet sheets.

1. Keras for beginers: https://www.kaggle.com/aayushkubba/keras-basics-for-beginners
2. Churn Prediction Basics: https://www.kaggle.com/aayushkubba/churn-prediction-basic-ann-keras-tutorial
3. House Price Prediction - https://www.kaggle.com/aayushkubba/regression-using-deep-learning-tensorflow-keras

1. https://www.kaggle.com/aayushkubba/tensorflow-2-tutorial-get-started-in-deep-learning
2. https://www.kaggle.com/aayushkubba/cifar-10-analysis-with-a-neural-network

1. https://www.kaggle.com/aayushkubba/simple-lstm-for-text-classification
2. https://www.kaggle.com/aayushkubba/intro-to-recurrent-neural-networks-lstm-gru
3. https://www.kaggle.com/aayushkubba/comprehensive-guide-to-rnn-with-keras

https://github.com/aayushkubb/Deep_Learning_Tutorial/blob/master/LSTM_Spam_Classification.ipynb https://github.com/aayushkubb/Deep_Learning_Tutorial/blob/master/Next_Word_Prediction.ipynb https://github.com/aayushkubb/Deep_Learning_Tutorial/blob/master/Retrieving_Information.ipynb

1. Basics: https://www.kaggle.com/aayushkubba/get-start-image-classification
2. Advance using ensemble of CNNs: https://www.kaggle.com/aayushkubba/25-million-images-0-99757-mnist
3. dvance Experiments: https://www.kaggle.com/aayushkubba/how-to-choose-cnn-architecture-mnist/edit

1. 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)

2. Advance:
3. Finetuned Models(Transfer Learning)

• https://www.kaggle.com/aayushkubba/dogs-vs-cats-classification-vgg16-fine-tuning

Articles: https://jalammar.github.io/illustrated-bert/