Treffer 41 - 60 von 3.550

41

Week 12: Python
Modrzyk, Nicolas ; Modrzyk, Nicolas
Building Telegram Bots : Develop Bots in 12 Programming Languages using the Telegram Bot API. :247-270

E-Book
43

Correctness Meets Performance: From Agda to Futhark
Šinkarovs, Artjoms ; Henriksen, Troels
Proceedings of the ACM on Programming Languages. 9(ICFP):567-596

Fachzeitschrift
44

Python for Deep Learning: A General Introduction
Mohamed, Khaled Salah ; Mohamed, Khaled Salah
Deep Learning-Powered Technologies : Autonomous Driving, Artificial Intelligence of Things (AIoT), Augmented Reality, 5G Communications and Beyond. :171-201

E-Book
45

TensorFlow Acceleration on ARM Hikey Board
Goli, Mehdi ; Iwanski, Luke ; Lawson, John ; et al.
Proceedings of the International Workshop on OpenCL. :1-4

Konferenz
46

SLOPE: Structural Locality-Aware Programming Model for Composing Array Data Analysis
Dong, Bin ; Wu, Kesheng ; Byna, Suren ; et al.
High Performance Computing : 34th International Conference, ISC High Performance 2019, Frankfurt/Main, Germany, June 16–20, 2019, Proceedings. 11501:61-80

E-Book
47

Rašysenos atpažinimas ir identifikavimas
Kaktavičiūtė, Katrina

Rašysenos atpažinimas, P...
Dissertation
48

Tensorflow and Keras Programming for Deep Learning
Lee, Taesam ; Singh, Vijay P. ; Cho, Kyung Hwa ; et al.
Deep Learning for Hydrometeorology and Environmental Science. 99:151-162

E-Book
49

On the challenges in programming mixed-precision deep neural networks
Zhao, Ruizhe ; Luk, Wayne ; Xiong, Chao ; et al.
Proceedings of the 4th ACM SIGPLAN International Workshop on Machine Learning and Programming Languages. :20-28

Konferenz
50

Testing probabilistic programming systems
Dutta, Saikat ; Legunsen, Owolabi ; Huang, Zixin ; et al.
Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. :574-586

Konferenz
51

Demystifying differentiable programming: shift/reset the penultimate backpropagator
Wang, Fei ; Zheng, Daniel ; Decker, James ; et al.
Proceedings of the ACM on Programming Languages. 3(ICFP):1-31

Fachzeitschrift
52

𝜆ₛ: computable semantics for differentiable programming with higher-order functions and datatypes
Sherman, Benjamin ; Michel, Jesse ; Carbin, Michael
Proceedings of the ACM on Programming Languages. 5(POPL):1-31

Fachzeitschrift
53

Explainable Artificial Intelligence with MicroPython: Lightweight Neural Networks for Students' Deeper Learning.
Klinkhammer, Dennis
International Journal of Emerging Technologies in Learning. 2025, Vol. 20 Issue 4, p72-80. 9p.

Artificial neural networ... Microcontrollers Programming languages Comprehension testing Teaching methods Students
Fachzeitschrift
54

Forecasting Stock Market Prices with Long Short-Term Memory (LSTM) Networks
Mittal, Pranav ; Prerna ; Bansal, Dhruv ; et al.
ICT Systems and Sustainability : Proceedings of ICT4SD 2025, Volume 6. 1650:13-19

E-Book
55

DEVELOPMENT OF A SOFTWARE SYSTEM FOR TRAFFIC SIGN RECOGNITION.
K., RAKIC ; Z., SEREMET ; A., ANTONINI
DAAAM International Scientific Book. 2022, p143-154. 12p.

Traffic signs & signals Systems software Artificial intelligence Computer software develo... Computer engineering Automatic speech recogni...
Fachzeitschrift
56

VTensor : Using Virtual Tensors to Build a Layout-oblivious AI Programming Framework
Yu, Feng ; Zhao, Jiacheng ; Cui, Huimin ; et al.
Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques. :345-346

Konferenz
57

Introduction to TensorFlow
Ahlawat, Samit ; Ahlawat, Samit
Reinforcement Learning for Finance : Solve Problems in Finance with CNN and RNN Using the TensorFlow Library. :5-137

E-Book
58

Detecting flaky tests in probabilistic and machine learning applications
Dutta, Saikat ; Shi, August ; Choudhary, Rutvik ; et al.
Proceedings of the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis. :211-224

Konferenz
59

Introduction to Artificial Intelligence
Zeng, Xiangming ; Long, Liangqu ; Long, Liangqu ; et al.
Beginning Deep Learning with TensorFlow : Work with Keras, MNIST Data Sets, and Advanced Neural Networks. :1-45

E-Book
60

SISTEM DETEKSI PEMAKAIAN MASKER PADA WAJAH SECARA REAL TIME MENGGUNAKAN FRAMEWORK TENSORFLOW DAN LIBRARY OPENCV
null Althaf Adhari Rachman ; null Ivan Maurits
Jurnal Ilmiah Teknik. 2:49-59

3. Good health
Fachzeitschrift

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