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Applied Deep Learning: Tools, Techniques, and Implementation (Computational Intelligence Methods and Applications)

Applied Deep Learning: Tools, Techniques, and Implementation (Computational Intelligence Methods and Applications)

Paul Fergus

Artificial Intelligence

Model Checking, Synthesis, and Learning: Essays Dedicated to Bengt Jonsson on The Occasion of His 60th Birthday (Lecture Notes in Computer Science Book 13030)

Model Checking, Synthesis, and Learning: Essays Dedicated to Bengt Jonsson on The Occasion of His 60th Birthday (Lecture Notes in Computer Science Book 13030)

Ernst-Rüdiger Olderog

Learning Strategies

Randomness and Elements of Decision Theory Applied to Signals

Randomness and Elements of Decision Theory Applied to Signals

Monica Borda

Decision Making

Deep Learning Techniques for IoT Security and Privacy (Studies in Computational Intelligence Book 997)

Deep Learning Techniques for IoT Security and Privacy (Studies in Computational Intelligence Book 997)

Nour Moustafa

Internet Of Things

Deep Learning for Unmanned Systems (Studies in Computational Intelligence Book 984)

Deep Learning for Unmanned Systems (Studies in Computational Intelligence Book 984)

Anis Koubaa

Computational Methods for Deep Learning: Theoretic, Practice and Applications (Texts in Computer Science)

Computational Methods for Deep Learning: Theoretic, Practice and Applications (Texts in Computer Science)

Wei Qi Yan

Machine Learning

Artificial Vision and Language Processing for Robotics: Create end-to-end systems that can power robots with artificial vision and deep learning techniques

Artificial Vision and Language Processing for Robotics: Create end-to-end systems that can power robots with artificial vision and deep learning techniques

Unai Garay Maestre

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Yuxi (Hayden) Liu

Machine Learning

Deep Learning with PyTorch Lightning: Swiftly build high-performance Artificial Intelligence (AI) models using Python

Deep Learning with PyTorch Lightning: Swiftly build high-performance Artificial Intelligence (AI) models using Python

Kunal Sawarkar

Artificial Intelligence

Deep Natural Language Processing and Ai Applications for Industry 5.0 (Advances in Computational Intelligence and Robotics)

Deep Natural Language Processing and Ai Applications for Industry 5.0 (Advances in Computational Intelligence and Robotics)

Poonam Tanwar

Artificial Intelligence

Hands-On Python Deep Learning for the Web: Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow

Hands-On Python Deep Learning for the Web: Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow

Sayak Paul

Hands-On Deep Learning for IoT: Train neural network models to develop intelligent IoT applications

Hands-On Deep Learning for IoT: Train neural network models to develop intelligent IoT applications

Md. Rezaul Karim

Internet Of Things

Hands-On Deep Learning with Apache Spark: Build and deploy distributed deep learning applications on Apache Spark

Hands-On Deep Learning with Apache Spark: Build and deploy distributed deep learning applications on Apache Spark

Guglielmo Iozzia

Hands-On Deep Learning for Games: Leverage the power of neural networks and reinforcement learning to build intelligent games

Hands-On Deep Learning for Games: Leverage the power of neural networks and reinforcement learning to build intelligent games

Micheal Lanham

Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Mike Bernico

Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras

Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras

Dipanjan Sarkar

Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications

Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications

Xiang Zhang

Math for Deep Learning: What You Need to Know to Understand Neural Networks

Math for Deep Learning: What You Need to Know to Understand Neural Networks

Ronald T. Kneusel

Deep Learning Systems: Algorithms, Compilers, and Processors for Large-scale Production (Synthesis Lectures on Computer Architecture)

Deep Learning Systems: Algorithms, Compilers, and Processors for Large-scale Production (Synthesis Lectures on Computer Architecture)

Andres Rodriguez

Artificial Intelligence

Data Orchestration in Deep Learning Accelerators (Synthesis Lectures on Computer Architecture)

Data Orchestration in Deep Learning Accelerators (Synthesis Lectures on Computer Architecture)

Tushar Krishna

Artificial Intelligence

Deep Learning Approaches to Text Production (Synthesis Lectures on Human Language Technologies)

Deep Learning Approaches to Text Production (Synthesis Lectures on Human Language Technologies)

Shashi Narayan

Artificial Intelligence

Computational Intelligence for Sustainable Transportation and Mobility (Computational Intelligence For Data Analysis Book 1)

Computational Intelligence for Sustainable Transportation and Mobility (Computational Intelligence For Data Analysis Book 1)

Deepak Gupta

Artificial Intelligence

Visual Domain Adaptation in the Deep Learning Era (Synthesis Lectures on Computer Vision)

Visual Domain Adaptation in the Deep Learning Era (Synthesis Lectures on Computer Vision)

Gabriela Csurka

Deep Learning with Python, Second Edition

Deep Learning with Python, Second Edition

François Chollet

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