Deep Learning Illustrated is a visual introduction to Artificial Neural Networks and AI. It is replete with working code demos and will be printed on Pearson's Addison-Wesley imprint in 2018.
Deep Learning Illustrated is a visual, interactive introduction to artificial intelligence that will be printed on Pearson's Addison-Wesley imprint in Summer 2019.
Physical copies can be pre-ordered now via, e.g., Amazon, Barnes & Noble. A digital “rough cut” is available via Safari Books, a summary (with Table of Contents) is available via Medium, and all of the code is available open-source in GitHub.
Jon Krohn is Chief Data Scientist at the machine learning startup untapt. He presents an acclaimed series of tutorials published by Addison-Wesley, including Deep Learning with TensorFlow and Deep Learning for Natural Language Processing. Jon teaches his deep learning curriculum in-classroom at the New York City Data Science Academy and guest lectures at Columbia University. He holds a doctorate in neuroscience from the University of Oxford and, since 2010, has been publishing on machine learning in leading peer-reviewed journals, including Advances in Neural Information Processing Systems.
Grant Beyleveld is a data scientist at untapt, where he works on natural language processing using deep learning. He holds a doctorate in biomedical science from the Icahn School of Medicine at New York City's Mount Sinai hospital, having studied the relationship between viruses and their hosts. He is a founding member of DeepLearningStudyGroup.org.
Aglaé Bassens is a Belgian artist based in Paris. She studied Fine Arts at The Ruskin School of Drawing and Fine Art, Oxford University, and University College London's Slade School of Fine Arts. Along with her work as an illustrator, her practice includes still life painting and murals.