TensorFlow
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
Points: 1559 | Comments: 196 | Author: jmomarty
C:\Users\myname\Anaconda2\envs\tensorflow\Lib\site-packages\tensorflow When I go to Anaconda Navigator, it seems I have to choose either root, Python35, or Tensorflow. It looks like the Tensorflow …
C:\Users\myname\Anaconda2\envs\tensorflow\Lib\site-packages\tensorflow When I go to Anaconda Navigator, it seems I have to choose either root, Python35, or Tensorflow. It looks like the Tensorflow …
Jan 11, 2023 · Caution: TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11, you will need to install TensorFlow in WSL2, or …
Deep learning with TensorFlow: applications in biomedical data analysis (⭐ 3)
However, when I substituted either tensorflow-cpu or tensorflow-gpu (depending upon which one is appropriate for you) then the code was suddenly able to find tensorflow.
The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud. (⭐ 382)
However, when I substituted either tensorflow-cpu or tensorflow-gpu (depending upon which one is appropriate for you) then the code was suddenly able to find tensorflow.
Nov 13, 2017 · 9 Try from tensorflow.python import keras with this, you can easily change keras dependent code to tensorflow in one line change. You can also try from tensorflow.contrib import …
TensorFlow Eager is a multi-stage, Python-embedded domain-specific language for hardware-accelerated machine learning, suitable for both interactive research and production. TensorFlow, which TensorFlow Eager extends, requires users to represent comp...
TensorFlow - A curated list of dedicated resources http://tensorflow.org (⭐ 17735)
We introduce TensorFlow Agents, an efficient infrastructure paradigm for building parallel reinforcement learning algorithms in TensorFlow. We simulate multiple environments in parallel, and group them to perform the neural network computation on a b...
Deep Learning mit TensorFlow, Keras und TensorFlow.js (⭐ 7)
Tags: tensorflow, tensorflow-datasets, tfrecord | Score: 13
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow (⭐ 2783)
Retrieved October 13, 2025. "TensorFlow Hub: overview", TensorFlow, retrieved from https://www.tensorflow.org/hub/overview Daniel Cer (2018). "Universal Sentence
An Open Source Machine Learning Framework for Everyone (⭐ 194033)
TensorFlow | 111,619 followers on LinkedIn. A fast, flexible, and scalable open-source machine learning library for research and production. | The official TensorFlow LinkedIn account from Google. Whether you're an expert or a beginner, TensorFlow is an end-to-end platform th…
Reimplementation of "Reasoning With Neural Tensor Networks for Knowledge Base Completion" (Socher, Chen 2013) in Google's TensorFlow framework. MIT 6.806 Final Project. NOTE: Not maintained. (⭐ 141)