Examples of using Tensorflow in English and their translations into Portuguese
{-}
-
Colloquial
-
Official
-
Medicine
-
Financial
-
Ecclesiastic
-
Ecclesiastic
-
Computer
-
Official/political
At some point,I discovered tensorflow.
Tensorflow tutorial for beginners jobs.
Other jobs related to keras vs tensorflow.
Tensorflow load model and predictlavori.
Learn how to save andload models in TensorFlow.
Tensorflow tutorial for beginnerslavori.
The fundamentals of building models with TensorFlow.
TensorFlow is Google Brain's second-generation system.
Other jobs related to cnn image classification tensorflow.
TensorFlow* software library for machine intelligence.
Introduction to neural networks anddeep learning with TensorFlow.
TensorFlow computations are expressed as stateful dataflow graphs.
Other jobs related to Machine learning Robotics control tensorflow.
Apply Filter 11,014 tensorflow create matrix jobs found, pricing in USD.
While it was primarily developed for use with Python, TensorFlow.
TensorFlow is a great library of resources for Python and other programming languages.
Google officially released RankBrain on October 26, 2015, backed by TensorFlow.
Can I run TensorFlow* with graphics processing unit(GPU) support on the Intel® AI DevCloud?
We use modern toolsets,including the famous scikit-learn and Tensorflow libraries.
Reviews suggest that the TensorFlow Object Detection API is easier to use to train proprietary models.
Push a button to capture an image with the camera, and TensorFlow Lite will tell you what it is!
Thus, I was curious if it was possible to port existing models for face detection andface recognition to tensorflow.
This free course teaches the fundamentals of using TensorFlow to create machine learning in Python.
Intel created optimization techniques that enable optimal CPU performance for popular frameworks like Caffe* and TensorFlow.
Among the applications for which TensorFlow is the foundation, are automated image-captioning software, such as DeepDream.
The OpenVINO™ toolkit works with pre-trained models that use Caffe or TensorFlow formats.
Most machine learning frameworks, such as TensorFlow and Caffe, require this ability in order to build and train neural networks on Android platforms.
In May 2016, Google announced its Tensor Processing Unit(TPU), an application-specific integrated circuit(a hardware chip)built specifically for machine learning and tailored for TensorFlow.
Learn about key performance challenges encountered while optimizing TensorFlow, as well as optimization techniques deployed to solve these challenges.
Given a TensorFlow model, we explain how to scale out the training of that model and offer high-performance predictions using Cloud Machine Learning Engine.