Credits

Figure P.2: Cajal, S.-R. (1894). Les Nouvelles Idées sur la Structure du Système Nerveux chez l’Homme et chez les Vertébrés. Paris: C. Reinwald & Companie.

Figure 1.5: Hubel, D. H., & Wiesel, T. N. (1959). Receptive fields of single neurones in the cat’s striate cortex. The Journal of Physiology, 148, 574–91.

Figure 1.13: Viola, P., & Jones, M. (2001). Robust real-time face detection. International Journal of Computer Vision, 57, 137-154.

Figure 1.18: Screenshot of TensorFlow Playground © Daniel Smilkov and Shan Carter.

Figure 1.19: Screenshot of TensorFlow Playground © Daniel Smilkov and Shan Carter.

Figure 2.8: Screenshot of word2viz © Julia Bazi nska.

Figure 3.2: Goodfellow, I., et al. (2014). Generative adversarial networks. arXiv:1406.2661.

Figure 3.3: Radford, A., et al. (2016). Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv:1511.06434v2.

Figure 3.5: Zhu, J.-Y., et al. (2017). Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. arXiv:1703.10593.

Figure 3.7: Zhang, H., et al. (2017). StackGAN: Text to photo-realistic image synthesis with stacked generative adversarial networks. arXiv:1612.03242v2.

Figure 3.8: Chen, C. et al. (2018) Learning to See in the Dark. arXiv:1805.01934.

Figure 4.5: Mnih, V., et al. (2015). Human-level control through deep reinforcement learning. Nature, 518, 529–533.

Figure 4.8: Silver, D., et al. (2016). Mastering the game of Go with deep neural networks and tree search. Nature 529, 484–489.

Figure 4.9: Silver, D., et al. (2016). Mastering the game of Go without human knowledge. Nature 550, 354–359.

Figure 4.10: Silver, D., et al. (2017). Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm. arXiv:1712.01815.

Figure 4.12: Levine, S., Finn, C., et al. (2016). End-to-End Training of Deep Visuomotor Policies. Journal of Machine Learning Research, 17, 1-40.

Figure 4.13: Screenshot of OpenAI Gym © OpenAI.

Figure 4.14: Screenshot of Deep Mind lab © 2018 DeepMind Technologies Limited.

Figure 9.8: Screenshot of TensorBoard © Google Inc.

Figure 10.14: Ren, S. et al. (2015). Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. arXiv: 1506.01497.

Figure 10.15: He, K., et al. (2017). Mask R-CNN. arXiv: 1703.06870.

Figure 12.5: Screenshot of Jupyter © 2019 Project Jupyter.

Figure 13.10: Screenshot of SLM Lab © Wah Loon Keng and Laura Graesser.