| Type: |
Dataset
|
| Number of words: |
835.867
|
| Unique words: |
38.587
|
| Source: |
An Introduction to Data Science, J Stanton, Deep Learning: A Practitioner's Approach, O'Reilly media, Deep Learning, Ian Goodfellow and Yoshua Bengio and Aaron Courville, Neural Networks and Deep Learning, Michael Nielsen, Artificial Intelligence for Humans - Volume 3: Deep Learning and Neural Networks, Jeff Heaton, MatLab Deep Learning with Machine Learning - Neural Networks and Artificial Intelligence-Apress, Phil Kim, Advances in Computer Vision and Pattern Recognition, Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang (eds.)
|
The Learning from Deep Learning dataset is an accumulation of 7 text books that give an technical explanation about deep learning. The books are all published in the last two years. This dataset was created to explore the effect of a technical practical language to the word2vec graphs.