Neural Networks and Deep Learning
GPTKB entity
Statements (21)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:book
|
| gptkbp:author |
gptkb:Michael_Nielsen
|
| gptkbp:availableOn |
https://neuralnetworksanddeeplearning.com/
|
| gptkbp:chapter |
How the backpropagation algorithm works
Improving the way neural networks learn Using neural nets to recognize handwritten digits Why are deep neural networks hard to train? A visual proof that neural nets can compute any function |
| gptkbp:format |
PDF
online book |
| https://www.w3.org/2000/01/rdf-schema#label |
Neural Networks and Deep Learning
|
| gptkbp:language |
English
|
| gptkbp:license |
gptkb:Creative_Commons_Attribution-NonCommercial_3.0_Unported_License
|
| gptkbp:publicationYear |
2015
|
| gptkbp:subject |
gptkb:machine_learning
deep learning neural networks |
| gptkbp:bfsParent |
gptkb:Michael_A._Nielsen
gptkb:Deep_Learning_Specialization_(Coursera) gptkb:Michael_Nielsen |
| gptkbp:bfsLayer |
7
|