Delphi Data Access Components allow developing multi-platform applications in Delphi, C++Builder, Lazarus (and FreePascal) on Windows, Linux, macOS, iOS, and Android, for both 32-bit and 64-bit platform. They are terrific tools that provide direct access to popular databases such as Oracle, Microsoft SQL Server, MySQL, InterBase, Firebird, PostgreSQL, SQLite, as well as clouds - Salesforce, FreshBooks, SugarCRM and many others. Moreover, we offer a mature ORM framework for Delphi.
No Delphi Data Access Components videos yet. You could help us improve this page by suggesting one.
Based on our record, TensorFlow seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 3 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Devart ODBC Drivers - Reliable and simple to use data connectors for ODBC data sources. Compatible with multiple third-party tools.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
CData JDBC Drivers - Connect to data from Java/J2EE Apps. Access live data from BI, Reporting, ETL Tools, Custom Apps, and more.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
CData ODBC Drivers - Live data connectivity from any application that supports ODBC interfaces.