Call Number (LC) Title Results
Q325.7 .V37 2000 The nature of statistical learning theory / 1
Q325.7 .V38 1998 Statistical learning theory / 1
Q325.7 .W38 2009 Algebraic geometry and statistical learning theory / 1
Q325.7 .W38 2009eb Algebraic geometry and statistical learning theory / 1
Q325.73 Deep learning models a practical approach for hands-on professionals /
Deep learning theory and applications : 4th International Conference, DeLTA 2023, Rome, Italy, July 13-14, 2023, Proceedings /
Deep learning and computational physics
Deep learning theory and applications : First International Conference, DeLTA 2020, virtual event, July 8-10, 2020, and Second International Conference, DeLTA 2021, virtual event, July 7-9, 2021, revised selected papers /
Attacks, defenses and testing for deep learning
Feature and dimensionality reduction for clustering with deep learning /
Deep generative models : third MICCAI workshop, DGM4MICCAI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings /
Evolutionary deep learning /
Backdoor attacks against learning-based algorithms /
Intelligent systems design and applications : deep learning.
Deep Learning for Smart Healthcare Trends, Challenges and Applications.
Automated deep learning using neural network intelligence : develop and design PyTorch and TensorFlow models using Python /
Deep reinforcement learning processor design for mobile applications /
Deep learning theory and applications : Third International Conference, DeLTA 2022, Lisbon, Portugal, July 12-14, 2022, revised selected papers /
Deep learning for fluid simulation and animation : fundamentals, modeling, and case studies /
Digitale Hate Speech Interdisziplinäre Perspektiven auf Erkennung, Beschreibung und Regulation.
Deep cognitive networks : enhance deep learning by modeling human cognitive mechanism /
Deep neural networks-enabled intelligent fault diagnosis of mechanical systems /
Designing deep learning systems : a guide for software engineers /
End-to-end deep learning for predicting Airbnb prices /
Deep learning and visual artificial intelligence : proceedings of ICDLAI 2024 /
Zero kara tsukuru deep learning.
Inside deep learning : math, algorithms, models /
Math and Architectures of Deep Learning /
Deep learning concepts in operations research /
Seisei deep learning : e o egaki, monogari o tsukuri, gēmu o pureisuru /
Hands-on deep learning model training with the sequential API in Keras.
Proceedings of International Conference on Deep Learning, Computing and Intelligence : ICDCI 2021 /
PyTorch to fastai de hajimeru dīpu rāningu : enjinia no tame no AI apurikēshon kaihatsu /
The deep learning architect's handbook : build and deploy production-ready DL solutions leveraging the latest Python techniques /
Deep learning at scale : at the intersection of hardware, software & data /
Deep learning : computer vision for beginners using PyTorch.
Essential tools for deep learning and data science.
Understanding Horovod for distributed gradient descent in PyTorch.
Learning deep learning : from perceptron to large language models.
Designing deep learning systems /
Math and architectures of deep learning /
What Is logistic regression in 3 minutes?
Math and architectures of deep learning.
Deep learning : a beginners' guide /
Deep learning based speech quality prediction
Deep Learning avec Keras et TensorFlow
Deep learning with fastai cookbook leverage the easy-to-use fastai framework to unlock the power of deep learning /
Using Lightning and Hangar with PyTorch to reduce coding in deep learning projects.
Deep learning for social media data analytics /
Applied deep learning : tools, techniques, and implementation /
Training Ludwig declarative deep learning models using Mac Studio M1Ultra.
Fundamentals of neural networks.
Deep learning : deep neural network for beginners using Python.
Python for deep learning : build neural networks in Python.
Deep learning CNN : convolutional neural networks with Python.
Deep learning and scientific computing with R torch /
DATA AUGMENTATION WITH PYTHON enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data /
Interpretability in deep learning /
Deep learning for computational problems in hardware security modeling attacks on strong physically unclonable function circuits /
Deep generative models : Second MICCAI Workshop, DGM4MICCAI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings /
The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022) /
Deep learning applications.
Deep learning technologies for the sustainable development goals : issues and solutions in the post-COVID era /
Deep learning : crash course 2023.
Evolutionary deep learning : genetic algorithms and neural networks /
Use GitHub Copilot to promote deep learning /
Enhancing Deep Learning with Bayesian Inference Create More Powerful, Robust Deep Learning Systems with Bayesian Deep Learning in Python /
Seisei deep learning : e o kaki, monogatari ya ongaku o tsukuri, gēmu o pureisuru /
Python de manabu dīpu rāningu no riron to jissō /
The future of artificial intelligence and robotics : proceedings of 5th International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2023 - progress in AI-driven business decisions & robotic process automation /
What are loss functions?
What are cost functions?
Deep learning for video understanding /
What are convolutional neural networks?
What is the math behind neural networks?
TensorFlow in action /
What is a neural network?
What is a multilayer perceptron?
What is deep learning?
MATHEMATICAL ENGINEERING OF DEEP LEARNING
What is gradient descent?
Applications of deep machine learning in future energy systems 		86
Q325.73 .A38 2022 Advanced analytics and deep learning models / 2
Q325.73 .B464 2022eb Deep learning technologies for social impact / 2
Q325.73 .C68 2023  
Q325.73 .D44 2023 Deep learning and its applications using Python / 3
Q325.73 .D88 2023 Gradient expectations : structure, origins, and synthesis of predictive neural networks / 2
Q325.73 .F75 2023 The little learner : a straight line to deep learning / 2
Q325.73 .G43 2022 Deep learning in practice / 1
Q325.73 .I58 2020 Advances in deep learning, artificial intelligence and robotics : proceedings of the 2nd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2020 / 1
Q325.73 .I58 2021 Progresses in artificial intelligence & robotics : algorithms & applications : proceedings of 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR) 2021 / 1
Q325.73 .I58 2022 Sentiment analysis and deep learning : proceedings of ICSADL 2022 / 1
Q325.73 .J62 2023 Deep learning foundations / 1
Q325.73 .J65 2023 The 4th joint international conference on deep learning, big data and blockchain (DBB 2023) / 1
Q325.73 L43 2022 Learn to setup Mac M1 with Tensorflow Metal / 1
Q325.73 .R34 2022eb Inside deep learning : math, algorithms, models / 2
Q325.73 .R63 2022 The principles of deep learning theory : an effective theory approach to understanding neural networks / 1