CIS435 v1

Biswal, A. (2024). Top 10 deep learning algorithms you should know in 2024. Simplilearn. https://www.simplilearn.com/tutorials/deep-learning-tutorial/deep-learning-algorithm

Brownlee, J. (2019). 18 impressive applications of generative adversarial networks (GANs). Machine Learning Mastery. https://machinelearningmastery.com/impressive-applications-of-generative-adversarial-networks/

Urwin, M. (2023). 20 deep learning applications you should now. Built In. https://builtin.com/artificial-intelligence/deep-learning-applications

Healey, B. (2018). Aiera raises $3.5M to expand the application of deep learning to fundamental investing. Medium. https://bryan-healey.medium.com/aiera-raises-3-5m-to-expand-the-application-of-deep-learning-to-fundamental-investing-4c71eba11ce5

Sagar, R. (2019). Artificial intelligence brings Mona Lisa to life using GANs Analytics in Diamag. https://analyticsindiamag.com/ai-origins-evolution/artificial-intelligence-brings-mona-lisa-to-life-using-gans/

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Saha, S. (2018). A comprehensive guide to convolutional neural networks - the ELI5 way. Medium. https://towardsdatascience.com/a-comprehensive-guide-to-convolutional-neural-networks-the-eli5-way-3bd2b1164a53

Loy, J. (2020). Deep learning based recommender systems. Medium. https://towardsdatascience.com/deep-learning-based-recommender-systems-3d120201db7e

Covington, P., Adams, J., & Sargin, E. (2016). Deep neural networks for YouTube recommendations. Google Research. https://research.google/pubs/deep-neural-networks-for-youtube-recommendations/

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Goodfellow, I.J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Begio, Y. (2014). Generative adversarial networks. Arxiv. https://arxiv.org/abs/1406.2661

Brownless, J. (2020). A gentle introduction to the Rectified Linear Unit (ReLU). Machine Learning Mastery. https://machinelearningmastery.com/rectified-linear-activation-function-for-deep-learning-neural-networks/

Gavrilova, Y. (2020). A guide to deep learning and neural networks. serokell. https://serokell.io/blog/deep-learning-and-neural-network-guide

Hardesty, L. (2019). The history of Amazon's recommendation algorithm. Amazon Science. https://www.amazon.science/the-history-of-amazons-recommendation-algorithm

Gladchuck, V. (2020). The history of machine learning: How did it all start?. Label Your Data. https://labelyourdata.com/articles/history-of-machine-learning-how-did-it-all-start

Brownless, J. (2020). How do convolutional layers work in deep learning neural networks?. Machine Learning Mastery. https://machinelearningmastery.com/convolutional-layers-for-deep-learning-neural-networks/

Hussami, P. (n.d.). How to approach machine learning problems. Toptal. https://www.toptal.com/machine-learning/machine-learning-problems

Brock, A., Donahue, J., & Simonyan, K. (2019). Large scale GAN training for high fidelity natural image synthesis. Arxiv. https://arxiv.org/abs/1809.11096

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McCulloch & Pitts publish one of the first studies of pattern recognition. (n.d.). History of Information. https://www.historyofinformation.com/detail.php?id=3908

A neural network playground. (n.d.). Playground. https://playground.tensorflow.org/#activation=tanh&batchSize=10&dataset=circle®Dataset=reg-plane&learningRate=0.03®ularizationRate=0&noise=0&networkShape=4,2&seed=0.48567&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false

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Cardarilli, G.C., Nunzio, L.D., Fazzolari, R., Giardino, D., Nannarelli, A., Re, M., & Spanò, S. (2021). A pseudo-softmax function for hardware-based high speed image classification.Scientific Reports, 11. https://www.nature.com/articles/s41598-021-94691-7

Frontiers in Neuroscience. (n,d,). RBM Network. ResearchGate. https://www.researchgate.net/figure/The-basic-structure-of-restricted-Boltzmann-machine-RBM_fig2_327936128

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Restricted boltzmann machine and its applications. (n.d.). Latent View. https://www.latentview.com/blog/restricted-boltzmann-machine-and-its-application/

Rozhavsky, V. (n.d.). the rise of deep learning recommender systems. Dynamic Yield. https://www.dynamicyield.com/lesson/deep-learning-recommendations/

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Choudhury, A. (2020). Top 10 impressive real-world applications of GANs. Analytics in Diamag. https://analyticsindiamag.com/ai-origins-evolution/top-6-impressive-real-world-applications-of-gans/

Projectpro. (2024). Top 10 deep learning algorithms in machine learning [2024]. ProjectPro. https://www.projectpro.io/article/deep-learning-algorithms/443

Chatterjee, M. (2024). Top 20 applications of deep learning in 2024 across industries. Great Learning. https://www.mygreatlearning.com/blog/deep-learning-applications/

Jin, Y., Zhang, J., Li, M., Tian, Y., Zhu, H., & Fang, A. (2017). Towards the automatic anime characters creation with generative adversarial networks. arxiv. https://arxiv.org/abs/1708.05509

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Bhardwaj, A. (2020). What is a perceptron? - Basics of neural networks. Medium. https://towardsdatascience.com/what-is-a-perceptron-basics-of-neural-networks-c4cfea20c590

Mahapatra, S. (2018). Why deep learning over traditional machine learning?. Medium. https://towardsdatascience.com/why-deep-learning-is-needed-over-traditional-machine-learning-1b6a99177063

VFXChris Ume. (2021, May 12). The chronicles of DeepTomCruite Part 3 (Viral Tiktok videos) [Video]. YouTube. https://www.youtube.com/watch?v=Z_2DEcR3O9I

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Crensha, A. (2018, October 7). Stable 30 advanced deception technology through behavioral biometrics Curt Barnard Dawud Gordon [Video]. YouTube. https://www.youtube.com/watch?v=CkFEDPPg9L0

Packt. (2018, September 10). What are generative adversarial networks (GANs) and how do they work? [Video]. YouTube. https://www.youtube.com/watch?v=-Upj_VhjTBs