Category: Tensorflow

Tensorflow supports x86-64, GPU and ARM 32-bit (Android and Raspberry Pi) platform officially. This article will introduce to install Tensorflow on ARM 64-bit CPU platform. (Of course, Tensorflow also works on ARM 64-bit CPU + GPU platform.). Does TensorFlow work on ARM 64-bit CPU? That makes it unique to other machine learning library, like Theano, […]

What is Tensorflow in Python Tensorflow is a library that is used in machine learning and it is an open-source library for numerical computation. It is used for developing machine learning applications and this library was first created by the Google brain team and it is the most common and successfully used library that provides […]

, tensor Flow was developed by the Google Brain team for internal Google use in research and production. The initial version was released under the Apache License 2.0 in 2015. Google released the updated version of Tensor. Flow, named Tensor. Flow 2.0, in September 2019. Another common question is “What is the latest version of […]

The key difference we will see is how Tensor. Flow 2.0 uses the power of Keras to reduce the lines of code and how easy it is to switch from Tensor. Flow 1.x to Tensor, and flow 20-alpha. We are going to be using the terms TF1.x or TF1 for Tensor. Flow 1.x and TF2.0 […]

If tensorflow is using GPU, you’ll notice a sudden jump in memory usage, temperature etc. Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question. One way to think about this is, tensor Flow code, and tf. Keras models will transparently run on a single GPU with no code changes […]

, py Torch is more pythonic and building ML models feels more intuitive. On the other hand, for using Tensorflow, you will have to learn a bit more about it’s working (sessions, placeholders etc.) and so it becomes a bit more difficult to learn Tensorflow than Py, and torch. Tensorflow has a much bigger community […]

You might already be aware of the fact that both Py. Torch and Tensor. Flow are open-source. But are they the same?, tensor Flow was built by the team at Google, keeping Theano in mind., whereas, py Torch was developed by the team at Facebook, completely basing it on the Torch framework. Tensorflow is a […]

, tensor Flow offers better visualization, which allows developers to debug better and track the training process., py Torch, however, provides only limited visualization., tensor Flow also beats Py. Torch in deploying trained models to production, thanks to the Tensor. Flow Serving framework. Is PyTorch better than TensorFlow? , while py Torch provides a similar […]

, tensor Flow Object Detection Object detection is a process of discovering real-world object detail in images or videos such as cars or bikes, TVs, flowers, and humans. It allows identification, localization, and identification of multiple objects within an image, giving us a better understanding of an image. So, what is tensorflow object detection api? […]

The simplest way to check the Tensor. Flow version is through a Python IDE or code editor. The library has built-in methods for displaying basic information. To print the Tensor. Flow version in Python, enter: The Tensor. Flow 2.x versions provide a method for printing the Tensor, and flow version. How to find version of […]