Advanced Applied Deep Learning Convolutional Neural Networks and Object Detection /
Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning, you will study advanced topics on CNN and object detection usi...
Κύριος συγγραφέας: | Michelucci, Umberto (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut) |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berkeley, CA :
Apress : Imprint: Apress,
2019.
|
Έκδοση: | 1st ed. 2019. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Applied Deep Learning A Case-Based Approach to Understanding Deep Neural Networks /
ανά: Michelucci, Umberto, κ.ά.
Έκδοση: (2018) -
Learn Keras for Deep Neural Networks A Fast-Track Approach to Modern Deep Learning with Python /
ανά: Moolayil, Jojo, κ.ά.
Έκδοση: (2019) -
Deep Learning for Natural Language Processing Creating Neural Networks with Python /
ανά: Goyal, Palash, κ.ά.
Έκδοση: (2018) -
Beginning Anomaly Detection Using Python-Based Deep Learning With Keras and PyTorch /
ανά: Alla, Sridhar, κ.ά.
Έκδοση: (2019) -
Practical Computer Vision Applications Using Deep Learning with CNNs With Detailed Examples in Python Using TensorFlow and Kivy /
ανά: Gad, Ahmed Fawzy, κ.ά.
Έκδοση: (2018)