Machine Learning is Fun! Part 3: Deep Learning and Convolutional Neural Networks. Geitgey, A. June, 2016. Paper abstract bibtex Update: This article is part of a series. Check out the full series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8!
@misc{geitgey_machine_2016-1,
title = {Machine {Learning} is {Fun}! {Part} 3: {Deep} {Learning} and {Convolutional} {Neural} {Networks}},
shorttitle = {Machine {Learning} is {Fun}! {Part} 3},
url = {https://medium.com/@ageitgey/machine-learning-is-fun-part-3-deep-learning-and-convolutional-neural-networks-f40359318721},
abstract = {Update: This article is part of a series. Check out the full series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8!},
urldate = {2018-05-03TZ},
journal = {Medium},
author = {Geitgey, Adam},
month = jun,
year = {2016},
keywords = {\#Introductory Overview, \#KeyReference, AI=Artificial Intelligence, Algorithms, CNN=Convolutional Neural Network, Classification, Computer Science, Computer Science - Computer Vision and Pattern Recognition, Computer Vision, DNN=Deep Neural Networks, Data Science, Deep Learning, GPU Computing, Image Analysis, Informatics, Machine Learning, Machine Learning Applications, Machine Learning Frameworks, Max Pooling Algorithm, Neural Networks, Python (Computer Programming), Sliding Input Window Technique, Source Code, Statistics - Machine Learning, TensorFlow, Working Code}
}
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