Deep-Learning-With-TensorFlow-Blog-series VS TensorFlow-Examples

Compare Deep-Learning-With-TensorFlow-Blog-series vs TensorFlow-Examples and see what are their differences.

Deep-Learning-With-TensorFlow-Blog-series

All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow [Moved to: https://github.com/Rishit-dagli/Deep-Learning-With-TensorFlow] (by Rishit-dagli)

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) (by aymericdamien)
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Deep-Learning-With-TensorFlow-Blog-series TensorFlow-Examples
2 2
35 43,236
- -
6.4 0.0
over 3 years ago 3 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Deep-Learning-With-TensorFlow-Blog-series

Posts with mentions or reviews of Deep-Learning-With-TensorFlow-Blog-series. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-12-12.

TensorFlow-Examples

Posts with mentions or reviews of TensorFlow-Examples. We have used some of these posts to build our list of alternatives and similar projects.
  • Keras vs. TensorFlow
    1 project | dev.to | 6 Jun 2021
    A linear regression model
  • Tensorman and RTX 30-Series GPU's
    1 project | /r/pop_os | 19 Mar 2021
    When I run this simple project, the log output is below. There is a 5-minute pause at 16:48. There is a second pause at the end of the script before the output of the example (final output excluded). This project runs quickly if I exclude "--gpu" and run it on the CPU.

What are some alternatives?

When comparing Deep-Learning-With-TensorFlow-Blog-series and TensorFlow-Examples you can also consider the following projects:

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)

docs - TensorFlow documentation

graphkit-learn - A python package for graph kernels, graph edit distances, and graph pre-image problem.

Artificial-Intelligence_resources-and-notebooks - This repo contains various different datasets and codes with various different algorithms. This also contains code and demonstrations to run an Artificial Intelligence Algorithm on the edge. It also contains many datasets where one can practice AI.

pyVHR - Python framework for Virtual Heart Rate

beginners-only - Help beginners learn the Git workflow and start contributing to Open Source!

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

pathway-examples - Code examples for the Pathway programming framework

Deep-Learning-Hardware-Benchmark - This repository contains the proposed implementation for benchmarking in order to evaluate whether a setup of hardware is feasible for deep learning projects.

tensorflow - An Open Source Machine Learning Framework for Everyone

rmi - A learned index structure