Tensorflow tutorial on convolutional neural networks. In this tutorial, you’ll learn the architecture of a convolutional neural network (CNN), how to create a CNN in Tensorflow, and provide ...

I provide the Bilinear_CNN (BCNN) implmentation in TensorFlow. bcnn_DD_woft.py and bcnn_DD_woft_with_random_crops.py are TensorFlow files used for the first step of the training procedure where only ...

Looking at other TensorFlow implementations of Faster R-CNN, I stumbled upon the use of tf.stop_gradient() in the regression loss functions in one code base. Lo and behold, this magically fixed the ...

In the spirit of open-source code, Google hopes that access and use by researchers, engineers and even hobbyists will result in even better machine learning capabilities in the future.

Given that JAX works at the NumPy level, JAX code is written at a much lower level than TensorFlow/Keras, and, yes, even PyTorch. Happily, there’s a small but growing ecosystem of surrounding ...

Engineers working on Google’s TensorFlow machine learning framework have revealed a subproject, MLIR, that is intended to be a common intermediate language for machine learning frameworks. MLIR ...

At Google’s inaugural TensorFlow Dev Summit in Mountain View, California, today, Google announced the release of version 1.0 of its TensorFlow open source framework for deep learning, a trendy ...

A new multifunctional Edge AI camera offering night vision, motion detection, TensorFlow Lite support, no-code set up and open source design is now available to purchase from just $89 from the ...