Neural networks (Computer science)
Label
Neural networks (Computer science)
Name
Neural networks (Computer science)
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Incoming Resources
- Subject of24
- The TensorFlow Workshop, Moocarme, Matthew
- Probabilistic deep learning, with Python, Keras, and TensorFlow Probability, Oliver Dürr, Beate Sick ; with Elvis Murina
- Grokking deep learning, Andrew W. Trask
- Introduction to deep learning, concepts and fundamentals, with Laura Graesser
- The deep learning with Keras workshop, learn how to define and train neural network models with just a few lines of code, Matthew Moocarme, Mahla Abdolahnejad and Ritesh Bhagwat
- Machine learning, theory and applications, edited by Venu Govindaraju, C.R. Rao
- Python ji shu ji chu shi pin jiao cheng, Baoluo ·J· Daite'er
- Customizing state-of-the-art deep learning models for new computer vision solutions, Timothy Hazen [and three others]
- How smart machines think, Sean Gerrish
- Deep Learning for Natural Language Processing, Solve Your Natural Language Processing Problems with Smart Deep Neural Networks
- Neural networks in finance, gaining predictive edge in the market, Paul D. McNelis
- Applied deep learning, a case-based approach to understanding neural networks, Umberto Michelucci
- Artificial intelligence and machine learning fundamentals, Zsolt Nagy
- Learning node embeddings in transaction networks, Data Science Salon
- Hands-on neural networks with Keras, design and create neural networks using deep learning and artificial intelligence principles, Niloy Purkait
- Neural Search, from Prototype to Production with Jina, Build Deep Learning-Powered Search Systems That You Can Deploy and Manage with Ease /, Bo Wang, Cristian Mitroi, Feng Wang, Shubam Saboo, Susana Guzmán
- Learn Keras for deep neural networks, a fast-track approach to modern deep learning with Python, Jojo Moolayil
- Data analytics and machine learning fundamentals, LiveLessons, Robert Barton and Jerome Henry
- Artificial vision and language processing for robotics, create end-to-end systems that can power robots with artificial vision and deep learning techniques, Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre
- Deep learning : deep neural network for beginners using Python
- Natural language processing with Java, techniques for building machine learning and neural network models for NLP, Richard M. Reese, AshishSingh Bhatia
- Machine Learning Workshop - Second Edition, Hyatt Saleh
- Hands-on neural network programming with C#, add powerful neural network capabilities to your C# enterprise applications, Matt R. Cole
- Advanced deep learning with R, become an expert at designing, building, and improving advanced neural network models using R, Bharatendra Rai
- Deep learning for health tech, neural network applications in healthcare using Python and TensorFlow, with Aileen Nielsen
- Hands-on Java deep learning for computer vision, implement machine learning and neural network methodologies to perform computer vision-related tasks, Klevis Ramo
- MATLAB for machine learning, functions, algorithms, and use cases, Giuseppe Ciaburro
- Deep learning
- Deep learning using Keras, a complete and compact guide for beginners, Abhilash Nelson
- Deep Learning mit Python und Keras, Das Praxis-Handbuch vom Entwickler der Keras-Bibliothek, Francois Chollet ; Übersetzung aus dem Amerikanischen von Knut Lorenzen
- Deep Learning with PyTorch (Audiobook), Eli Stevens
- Neural networks, with Alessandra Staglianò, Angie Ma, and Gary Willis, Part 5
- Grokking deep learning in motion, Beau Carnes
- Das Geheimnis hinter ChatGPT, wie die KI arbeitet und warum sie funktioniert, Stephen Wolfram
- Performance tuning deep learning in Python, a masterclass
- Human memory modeled with standard analog and digital circuits, inspiration for man-made computers, John Robert Burger
- Hands-On Natural Language Processing with PyTorch 1.x, Thomas Dop
- Java deep learning cookbook, train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j, Rahul Raj
- R deep learning cooking, solve complex neural net problems with TensorFlow, H2O and MXNet, Dr. PKS Prakash, Achyutuni Sri Krishna Rao
- Fuzzy neural networks for real time control applications, concepts, modeling and algorithms for fast learning, Erdal Kayacan & Mojtaba Ahmadieh Khanewsar with foreword by Jerry M. Mendel
- Introduction to deep learning using PyTorch, create simple neural networks in Python using PyTorch, with Goku Mohandas & Alfredo Canziani
- Deep learning with TensorFlow, Dr. Jon Krohn
- Advanced applied deep learning, convolutional neural networks and object detection, Umberto Michelucci
- TensorFlow 2.0 quick start guide, get up to speed with the newly introduced features of TensorFlow 2.0, Tony Holdroyd
- Deep learning with Keras, implement neural networks with Keras on Theano and TensorFlow, Antonio Gulli, Sujit Pal
- Fighting crime with graph learning, Mark Weber
- Shen du xue xi, nei hang ren de zuo fa = Deep learning : a practitioner's approach, Josh Patterson & Adam Gibson zhu ; Lan Zixuan yi
- Applied deep learning and computer vision for self-driving cars, build autonomous vehicles using deep neural networks and behavior-cloning techniques, Sumit Ranjan, Dr. S. Senthamilarasu
- PyTorch recipes, A Problem-Solution Approach to Build, Train and Deploy Neural Network Models, Pradeepta Mishra
- Hands-on neuroevolution with Python, build high-performing artificial neural network architectures using neuroevolution-based algorithms, Iaroslav Omelianenko