Advanced applied deep learning : convolutional neural networks and object detection
Michelucci, Umberto, author.
New York : Apress, [2019]

Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational
Atienza, Rowel, author.
Birmingham, UK : Packt Publishing, 2018.

Advanced deep learning with Python.
Vasilev, Ivan.
Birmingham, UK : Packt Publishing, 2019.

Advanced deep learning with R : become an expert at designing, building, and improving advanced neur
Rai, Bharatendra K., author.
Birmingham, UK : Packt Publishing, 2019.

Analog VLSI circuits for the perception of visual motion
Stocker, Alan A.
Chichester, England ; Hoboken, NJ : John Wiley & Sons, ©2006.

Applied deep learning : a case-based approach to understanding neural networks
Michelucci, Umberto, author.
[Place of publication not identified] : Apress, [2018]

Applied deep learning and computer vision for self-driving cars : build autonomous vehicles using de
Ranjan, Sumit, author.
Birmingham : Packt Publishing, 2020.

Applied deep learning with TensorFlow 2 : learn to implement advanced deep learning techniques with
Michelucci, Umberto, author.
New York, NY : Apress, [2022]

Applied machine learning for spreading financial statements

[Austin, Texas] : Data Science Salon, 2020.

Applied neural networks with TensorFlow 2 : API oriented deep learning with Python
Yalçın, Orhan Gazi, author.
[Berkeley, CA] : Apress, [2021]

Applied Recommender Systems with Python : Build Recommender Systems with Deep Learning, NLP and Grap
Kulkarni, Akshay, author.
Berkeley, CA : Apress L. P., 2023.

The applied TensorFlow and Keras workshop.
Chadha, Harveen Singh, author.
Birmingham, UK : Packt Publishing, 2020.

Applying the idiomatic design pattern to convolutional neural networks

[Place of publication not identified] : Manning Publications, 2020.

Artificial intelligence and machine learning fundamentals
Nagy, Zsolt, on-screen presenter.
[Place of publication not identified] : Packt Publishing, 2019.

Artificial intelligence and machine learning fundamentals
Nagy, Zsolt, author.
Birmingham, UK : Packt Publishing, 2018.

Artificial neural network for software reliability prediction
Bisi, Manjubala, author.
Hoboken, NJ : John Wiley & Sons ; Beverly, MA : Scrivener Publishing, 2017.

Artificial neural networks with Java : tools for building neural network applications
Livshin, Igor, author.
[California] : Apress, [2019]

Artificial Neural Networks with Java Tools for Building Neural Network Applications.
Livshin, Igor.
Berkeley, CA : Apress L. P., 2021.

Artificial neural networks with TensorFlow 2 : ANN architecture machine learning projects
Sarang, P. G. (Poornachandra G.)
[Place of publication not identified] : Apress, 2021.

Artificial vision and language processing for robotics : create end-to-end systems that can power ro
Morena Alberola, Álvaro, author.
Birmingham, UK : Packt Publishing, 2019.

Automated deep learning using neural network intelligence : develop and design PyTorch and TensorFlo
Gridin, Ivan, author.
New York, NY : Apress, [2022]

Avoiding the pitfalls of deep learning : solving model overfitting with regularization and dropout
Graesser, Laura, on-screen presenter.
[Place of publication not identified] : O'Reilly Media, [2017]

Big data science in finance
Aldridge, Irene, 1975- author.
Hoboken, New Jersey : John Wiley & Sons, Inc., [2021]

Building a chatGPT AI with JavaScript : an openAI code-along guide.

[Place of publication not identified] : Packt Publishing, [2023]

Building computer vision applications using artificial neural networks : with examples in OpenCV and
Ansari, Shamshad, author.
[Berkeley, CA] : Apress, 2023.

Building computer vision applications using artificial neural networks : with step-by-step Eeamples
Ansari, Shamshad.
Berkeley, CA : Apress, 2020.

Building computer vision applications using artificial neural networks : with step-by-step examples
Ansari, Shamshad, author.
[Berkeley, California?] : Apress, [2020]

Building Recommender systems with machine learning and AI
Kane, Frank, speaker.
[Place of publication not identified] : Packt Publishing, 2018.

The business of deep learning : understanding deep learning and discovering real world applications
Coatney, Matt, speaker.
[Place of publication not identified] : O'Reilly Media, [2017]

Chatgpt
Baker, Pamela, author.
Hoboken, New Jersey : For dummies, a Wiley Brand, [2023]

ChatGPT 101 : supercharge your work and life with ChatGPT.

[Place of publication not identified] : Packt Publishing, 2023.

ChatGPT and DALL-E : sell your creative thinking with AI.

[Place of publication not identified] : Packt Publishing, 2023.

ChatGPT for web design : create amazing websites.

[Place of publication not identified] : Packt Publishing, [2023]

ChatGPT : mit KI in ein neues Zeitalter : wie KI-Tools unser Leben und die Gesellschaft verändern
Engelke, Ulrich, author.
Frechen : mitp Verlag, 2023.

ChatGPT : possibilities and Pitfalls.

[Tokyo, Japan] : O'Reilly Japan, Inc., 2023.

ChatGPT : possibilities and pitfalls.

[Place of publication not identified] : O'Reilly Media, Inc., [2023]

ChatGPT voice-powered chatbot build with React and FastAPI.

[Place of publication not identified] : Packt Publishing, 2023.

Coding neural networks with TensorFlow 2.0.

[Place of publication not identified] : Manning Publications, [2020].

Computational analysis and deep learning for medical care : principles, methods, and applications

Hoboken : Wiley : Scrivener Publishing, 2021.

Convolutional neural networks with Swift for TensorFlow : image recognition and dataset categorizati
Koonce, Brett.
[United States] : Apress, 2021.

Customizing state-of-the-art deep learning models for new computer vision solutions
Hazen, Timothy, on-screen presenter.
[Place of publication not identified] : O'Reilly, 2017.

Data analytics and machine learning fundamentals : LiveLessons
Barton, Robert (Robert A.), on-screen presenter.
[Place of publication not identified] : Pearson, [2019]

Shu ju fen xi yu ji qi xue xi ji chu.

[Place of publication not identified] : Pearson, 2019.

Deep Belief Nets in C++ and CUDA C.
Masters, Timothy, author.
New York, NY : Apress, [2018]

Deep belief nets in C++ and CUDA C :
Masters, Timothy.
[Berkeley, CA] : Apress, [2018]

Deep belief nets in C++ and CUDA C.
Masters, Timothy, author.
New York : Apress, [2018]

Deep learning : a practitioner's approach
Patterson, Josh (Consultant), author.
Sebastopol, CA : O'Reilly Media, Inc., 2017.

Deep learning : a visual approach
Glassner, Andrew S., author.
San Francisco, CA : No Starch Press, Inc., [2021]

Deep learning and the game of Go
Pumperla, Max, author.
Shelter Island, NY : Manning Publications Co., [2019]

Deep learning.

[Place of publication not identified] : Packt Publishing, [2023]