External links

• Open source data collection: https://skymind.ai/wiki/open-datasets or awesome-public-datasets GitHub repo: https://github.com/awesomedata/awesome-public-datasets
• Google Search Advanced: https://www.google.com/advanced_search
• Augmenting text: https://www.quora.com/What-data-augmentation-techniques-are-available-for-deep-learning-on-text
• Data Noising as Smoothing in Neural Network Language Models: https://arxiv.org/abs/1703.02573
• TensorBoard: https://www.tensorflow.org/guide/summaries_and_tensorboard
• An Introduction to Feature Selection: https://machinelearningmastery.com/an-introduction-to-feature-selection/
• Andrew Ng's course on hyperparameters tuning: https://www.coursera.org/lecture/deep-neural-network/hyperparameters-tuning-in-practice-pandas-vs-caviar-DHNcc
• Hyperparameters optimization for Neural Networks:&...