Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent systems

State-of-the-art deep learning models in TensorFlow : modern machine learning in the Google colab ecosystem
Autor: Paper, David
Vydáno: (2021)

Deep learning : a visual approach
Autor: Glassner, Andrew S., 1960-
Vydáno: (2021)

Understanding deep learning
Autor: Prince, Simon J. D. (Simon Jeremy Damion), 1972-
Vydáno: (2023)

Machine learning : a constraint-based approach
Autor: Gori, Marco, 1957-
Vydáno: (2024)

Deploy machine learning models to production : with Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform
Autor: Singh, Pramod
Vydáno: (2021)

Generative deep learning : teaching machines to paint, write, compose, and play
Autor: Foster, David
Vydáno: (2023)

Math for deep learning : what you need to know to understand neural networks
Autor: Kneusel, Ronald T.
Vydáno: (2022)

Deep learning for search
Autor: Teofili, Tommaso
Vydáno: (2019)

Deep learning with Python
Autor: Chollet, François
Vydáno: (2018)

Deep learning v jazyku Python : knihovny Keras, Tensorflow
Autor: Chollet, François
Vydáno: (2023)

Grokking deep reinforcement learning
Autor: Morales, Miguel
Vydáno: (2020)

Machine learning engineering with Python : manage the lifecycle of machine learning models using MLOps with practical examples
Autor: McMahon, Andrew P.
Vydáno: (2023)

Deep learning from scratch : building with Python from first principles
Autor: Weidman, Seth
Vydáno: (2019)

Deep learning with Swift for TensorFlow : differentiable programming with Swift
Autor: Bhalley, Rahul
Vydáno: (2021)

Applied machine learning and AI for engineers : solve business problems that can't be solved algorithmically
Autor: Prosise, Jeff
Vydáno: (2022)

Artificial neural networks with TensorFlow 2 : ANN architecture machine learning projects
Autor: Sarang, P. G. (Poornachandra G.)
Vydáno: (2021)

Deep learning with TensorFlow and Keras : build and deploy supervised, unsupervised, deep, and reinforcement learning models
Autor: Kapoor, Amita
Vydáno: (2022)

Natural language processing with TensorFlow : teach language to machines using Python's deep learning library
Autor: Ganegedara, Thushan
Vydáno: (2018)

The science of deep learning
Autor: Drori, Iddo
Vydáno: (2023)

Practical deep learning : a Python-based introduction
Autor: Kneusel, Ronald T.
Vydáno: (2021)

Random matrix methods for machine learning
Autor: Couillet, Romain, 1983-
Vydáno: (2022)

Scaling machine learning with Spark : distributed ML with MLlib, TensorFlow, and PyTorch
Autor: Polak, Adi
Vydáno: (2023)

Applied neural networks with TensorFlow 2 : API oriented deep learning with Python
Autor: Yalçın, Orhan Gazi
Vydáno: (2021)

Interpretable AI : building explainable machine learning systems
Autor: Thampi, Ajay
Vydáno: (2022)

Machine learning refined : foundations, algorithms, and applications
Autor: Watt, Jeremy, 1983-
Vydáno: (2020)

Deep learning : a practitioner's approach
Autor: Patterson, Josh
Vydáno: (2017)

Deep learning v jazyku Python : knihovny Keras, Tensorflow
Autor: Chollet, François
Vydáno: (2019)

TensorFlow 2.x in the colaboratory cloud : an introduction to deep Learning on Google's cloud service
Autor: Paper, David
Vydáno: (2021)

Machine learning bookcamp : build a portfolio of real-life projects
Autor: Grigorev, Alexey
Vydáno: (2021)

Adversarial learning and secure AI
Autor: Miller, David J.
Vydáno: (2024)

Deep learning
Autor: Kelleher, John D., 1974-
Vydáno: (2019)

Deep learning with Python : learn best practices of deep learning models with PyTorch
Autor: Ketkar, Nikhil
Vydáno: (2021)

A hands-on introduction to machine learning
Autor: Shah, Chirag, 1978-
Vydáno: (2023)

Thoughtful machine learning with Python : a test-driven approach
Autor: Kirk, Matthew
Vydáno: (2017)

Implementing machine learning for finance : a systematic approach to predictive risk and performance analysis for investment portfolios
Autor: Nokeri, Tshepo Chris
Vydáno: (2021)

Python deep learning : next generation techniques to revolutionize computer vision, AI, speech and data analysis
Autor: Zocca, Valentino
Vydáno: (2017)