TensorFlow 2.x in the Colaboratory Cloud
David Paper
* Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.
Naturwissenschaften, Medizin, Informatik, Technik / Informatik
Beschreibung
Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab’s default install of the most current TensorFlow 2.x along with Colab’s easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep learning models. This book offers you the opportunity to grasp deep learning in an applied manner with the only requirement being an Internet connection. Everything else—Python, TensorFlow 2.x, GPU support, and Jupyter Notebooks—is provided and ready to go from Colab.
-
Be familiar with the basic concepts and constructs of applied deep learning
-
Create machine learning models with clean and reliable Python code
-
Work with datasets common to deep learning applications
-
Prepare data for TensorFlow consumption
-
Take advantage of Google Colab’s built-in support for deep learning
-
Execute deep learning experiments using a variety of neural network models
-
Be able to mount Google Colab directly to your Google Drive account
-
Visualize training versus test performance to see model fit
Kundenbewertungen
Tensors, Classification, Regression, Sequential Neural Networks, Time Series Forecasting, Recurrent Neural Networks, NumPy, Pandas, Jupyter Notebooks, Deep Learning, Natural Language Processing, Colaboratory, Convolutional Neural Networks, Python, TensorFlow, Google Cloud Platform (GCP), Neural Networks