References

1. Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python, Paperback – 26 Apr 2017, Antonio Gulli, Sujit Pal
2. TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python, Antonio Gulli, Amita Kapoor
3. Large Scale Visual Recognition Challenge 2012 (ILSVRC2012) https://www.kdnuggets.com/2018/12/deep-learning-major-advances-review.html
4. ImageNet Classification with Deep Convolutional Neural Networks, Krizhevsky, Sutskever, Hinton, NIPS, 2012
5. From not working to neural networking, The Economist https://www.economist.com/special-report/2016/06/23/from-not-working-to-neural-networking
6. State-of-the-art Image Classification on ImageNet https://paperswithcode.com/sota/image-classification-on-imagenet
7. Language Models are Unsupervised Multitask Learners, Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever https://github.com/openai/gpt-2
8. PyTorch: An open source machine learning framework that accelerates the path from research prototyping to production deployment, https://pytorch.org/
9. State of Deep Learning and Major Advances: H2 2018 Review, https://www.kdnuggets.com/2018/12/deep-learning-major-advances-review.html