Cargando…

Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0

Detalles Bibliográficos
Autor principal:	Silaparasetty, Nikita
Lenguaje:	eng
Publicado:	Apress 2020
Materias:	XX
Acceso en línea:	http://cds.cern.ch/record/2741906

Ejemplares similares

Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras
por: Silaparasetty, Vinita
Publicado: (2020)

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
por: Singh, Pramod
Publicado: (2019)

Practical Data Analysis Using Jupyter Notebook
por: Wintjen, Marc
Publicado: (2020)

Using Jupyter Notebooks for re-training machine learning models
por: Smajić, Aljoša, et al.
Publicado: (2022)

IPython/Jupyter Notebooks
por: AVILÉS, Alejandro
Publicado: (2015)

ScienceBox 2.0: From EOS Storage to Jupyter notebooks in Kubernetes
por: Bocchi, Enrico
Publicado: (2022)

Integration of TMVA Output into Jupyter notebooks
por: Saliji, Albulena
Publicado: (2016)

Prototyping Controlled Mathematical Languages in Jupyter Notebooks
por: Schaefer, Jan Frederik, et al.
Publicado: (2020)

Understanding and improving the quality and reproducibility of Jupyter notebooks
por: Pimentel, João Felipe, et al.
Publicado: (2021)

Biotechnology Data Analysis Training with Jupyter Notebooks
por: Liebal, Ulf W., et al.
Publicado: (2023)

Learning IPython for interactive computing and data visualization: get started with Python for data analysis and numerical computing in the Jupyter notebook
por: Rossant, Cyrille
Publicado: (2015)

Integration of Jupyter Notebook Gallery with JupyterLab Interface of SWAN - Service for Web Based Analysis.
por: Nabil, Yasser
Publicado: (2022)

Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow
por: Raschka, Sebastian, et al.
Publicado: (2017)

Machine Learning with TensorFlow
por: Mattmann, Chris
Publicado: (2021)

Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow 2
por: Raschka, Sebastian, et al.
Publicado: (2019)

Appyters: Turning Jupyter Notebooks into data-driven web apps
por: Clarke, Daniel J.B., et al.
Publicado: (2021)

TensorFlow 2.0 Computer Vision Cookbook
por: Martinez, Jesus
Publicado: (2021)

Machine Learning Using TensorFlow Cookbook
por: Audevart, Alexia, et al.
Publicado: (2021)

Tools for Quantitative Analysis of Calcium Signaling Data Using Jupyter-Lab Notebooks
por: Rugis, John, et al.
Publicado: (2023)

Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks
por: Rule, Adam, et al.
Publicado: (2019)

Computer vision projects with OpenCV and Python 3: six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
por: Rever, Matthew
Publicado: (2018)

What's new in TensorFlow 2.0: use the new and improved features of TensorFlow to enhance machine learning and deep learning
por: Baranwal, Ajay, et al.
Publicado: (2019)

Learning Jupyter 5: explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab
por: Toomey, Dan
Publicado: (2018)

Applied Neural Networks with TensorFlow 2: API Oriented Deep Learning with Python
por: Yalçın, Orhan
Publicado: (2020)

Toward collaborative open data science in metabolomics using Jupyter Notebooks and cloud computing
por: Mendez, Kevin M., et al.
Publicado: (2019)

Gwaihir: Jupyter Notebook graphical user interface for Bragg coherent diffraction imaging
por: Simonne, David, et al.
Publicado: (2022)

Hands-on meta learning with Python: meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow
por: Ravichandiran, Sudharsan
Publicado: (2018)

Jupyter notebook-based tools for building structured datasets from the Sequence Read Archive
por: Bernstein, Matthew N., et al.
Publicado: (2020)

JBrowse Jupyter: a Python interface to JBrowse 2
por: De Jesus Martinez, Teresa, et al.
Publicado: (2023)

Mastering machine learning on AWS: advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow
por: Mengle, Saket S R, et al.
Publicado: (2019)

Python for TensorFlow pocket primer
por: Campesato, Oswald
Publicado: (2019)

Reinforcement learning: with open AI, TensorFlow and Keras using Python
por: Nandy, Abhishek, et al.
Publicado: (2017)

Reinforcement learning: with Open AI, TensorFlow and Keras using Python
por: Nandy, Abhishek, et al.
Publicado: (2018)

Learn TensorFlow Enterprise
por: Tung, KC
Publicado: (2020)

Docker for data science: building scalable and extensible data infrastructure around the Jupyter notebook server
por: Cook, Joshua
Publicado: (2017)

Jupyter for data science: exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter
por: Toomey, Dan
Publicado: (2017)

TensorFlow machine learning cookbook: explore machine learning concepts using the latest numerical computing library, TensorFlow, with the help of this comprehenisive cookbook
por: McClure, Nick
Publicado: (2017)

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

Mastering TensorFlow 1.x: advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
por: Fandango, Armando
Publicado: (2018)

Supervised Learning with Python: Concepts and Practical Implementation Using Python
por: Verdhan, Vaibhav
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_n49qdmdhjmrovrk1cu5j7jdg75