Loading…

The second age of computer science : from ALGOL genes to neural nets /

This book describes the evolution of computer science in the form of seven overlapping, intermingling, parallel histories that unfold concurrently in the course of the two decades. Author Subrata Dasgupta named the two decades from 1970 to 1990 as the second age of computer science to distinguish it...

Full description

Bibliographic Details
Call Number:	Libro Electrónico
Main Author:	Dasgupta, Subrata (Author)
Format:	Electronic eBook
Language:	Inglés
Published:	New York, NY : Oxford University Press, [2018]
Subjects:	1900-1999 Computer science > History > 20th century. Genetic programming (Computer science) ALGOL (Computer program language) Neural networks (Computer science) Neural Networks, Computer Informatique > Histoire > 20e siècle. Programmation génétique (Informatique) ALGOL (Langage de programmation) Réseaux neuronaux (Informatique) COMPUTERS > Computer Literacy. COMPUTERS > Computer Science. COMPUTERS > Data Processing. COMPUTERS > Hardware > General. COMPUTERS > Information Technology. COMPUTERS > Machine Theory. COMPUTERS > Reference. Computer science History
Online Access:	Texto completo

Similar Items

The Second Age of Computer Science /
by: Dasgupta, Subrata
Published: (2018)

Programming: ALGOL
by: Malcolme-Lawes, D. J.
Published: (1969)

Artificial Neural Networks with Java Tools for Building Neural Network Applications.
by: Livshin, Igor
Published: (2021)

Artificial neural networks with Java : tools for building neural network applications /
by: Livshin, Igor
Published: (2022)

Neural network programming with Java : unleash the power of neural networks by implementing professional Java code /
by: Soares, Fábio M., et al.
Published: (2016)

Deep belief nets in C++ and CUDA C :
by: Masters, Timothy
Published: (2018)

Neural networks and computing : learning algorithms and applications /
by: Chow, Tommy W. S.
Published: (2007)

Exploring neural networks with C♯ /
by: Tadeusiewicz, Ryszard, et al.
Published: (2015)

Neural network programming with Java : create and unleash the power of neural networks by implementing professional Java code /
by: Soares, Fábio M., et al.
Published: (2017)

Mastering PyTorch : build powerful neural network architectures using advanced PyTorch 1.x features /
by: Jha, Ashish Ranjan
Published: (2021)

Hands-on transfer learning with Python : implement advanced deep learning and neural network models using TensorFlow and Keras /
by: Sarkar, Dipanjan, et al.
Published: (2018)

Deep neuro-fuzzy systems with Python : with case studies and applications from the industry /
by: Singh, Himanshu, et al.
Published: (2020)

Advanced applied deep learning : convolutional neural networks and object detection /
by: Michelucci, Umberto
Published: (2019)

Hands-on Java deep learning for computer vision : implement machine learning and neural network methodologies to perform computer vision-related tasks /
by: Ramo, Klevis
Published: (2019)

Hands-on Java deep learning for computer vision : implement machine learning and neural network methodologies to perform computer vision-related tasks /
by: Ramo, Klevis
Published: (2019)

Hands-on Java deep learning for computer vision : implement machine learning and neural network methodologies to perform computer vision-related tasks /
by: Ramo, Klevis
Published: (2019)

Deep belief nets in C++ and CUDA C.
by: Masters, Timothy
Published: (2018)

Deep Belief Nets in C++ and CUDA C.
by: Masters, Timothy
Published: (2018)

Annual review in automatic programming :
Published: (1981)

The deep learning with Keras workshop : learn how to define and train neural network models with just a few lines of code /
by: Moocarme, Matthew, et al.
Published: (2020)

Deep Learning mit Python und Keras : Das Praxis-Handbuch vom Entwickler der Keras-Bibliothek /
by: Chollet, François
Published: (2018)

Neural networks and genome informatics /
by: Wu, Cathy H.
Published: (2000)

Deep learning : deep neural network for beginners using Python.
Published: (2023)

Deep learning with Python /
by: Chollet, François
Published: (2021)

Deep learning with Python /
by: Chollet, François
Published: (2021)

Grokking deep learning /
by: Trask, Andrew W.
Published: (2019)

PYTORCH POCKET REFERENCE building and deploying deep learning models.
by: PAPA, JOE
Published: (2021)

Hands-on neuroevolution with Python : build high-performing artificial neural network architectures using neuroevolution-based algorithms /
by: Omelianenko, Iaroslav
Published: (2019)

PyTorch recipes : A Problem-Solution Approach to Build, Train and Deploy Neural Network Models /
by: Mishra, Pradeepta
Published: (2022)

Recurrent Neural Networks with Python Quick Start Guide : Sequential Learning and Language Modeling with TensorFlow.
by: Kostadinov, Simeon
Published: (2018)

Practical neural network recipes in C++ /
by: Masters, Timothy
Published: (1993)

A guide to neural computing applications /
by: Tarassenko, Lionel
Published: (1998)

Deep learning : practical neural networks with Java : build and run intelligent applications by leveraging key Java machine learning libraries : a course in three modules.
by: Sugomori, Yusuke, et al.
Published: (2017)

Hands-on neural network programming with C# : add powerful neural network capabilities to your C# enterprise applications /
by: Cole, Matt R., 1961-
Published: (2018)

Building a chatGPT AI with JavaScript : an openAI code-along guide.
Published: (2023)

Deep learning with Python /
by: Chollet, François
Published: (2018)

Hands-On Deep Learning Architectures with Python : Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras.
by: Liu, Yuxi (Hayden)
Published: (2019)

Artificial neural networks /
Published: (2011)

Neuronale Netze selbst programmieren : ein verständlicher Einstieg mit Python /
by: Rashid, Tariq (Data scientist)
Published: (2017)

Artificial neural network training and software implementation techniques /
by: Kattan, Ali
Published: (2011)

Cannot write session to /tmp/vufind_sessions/sess_co4u6id6eajrdipvli350skjol