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

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

docs

TensorFlow documentation (by tensorflow)
Tensorflow tensorflow-tutorials tensorflow-examples Documentation Machine Learning Deep Learning deep-neural-networks
Source Code
tensorflow.org
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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)
Deep Learning Tensorflow Machine Learning AI Artificial intelligence Examples Beginner beginner-friendly beginners-tutorial-series Python

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docs Deep-Learning-With-TensorFlow-Blog-series
3 2
6,033 35
0.5% -
9.0 6.4
9 days ago over 3 years ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 Apache License 2.0
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.

docs

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

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.

What are some alternatives?

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

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.

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

rpi-urban-mobility-tracker - The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.

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

tensorflow-deep-learning - All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

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

introtodeeplearning - Lab Materials for MIT 6.S191: Introduction to Deep Learning

pathway-examples - Code examples for the Pathway programming framework

saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

tensorflow - An Open Source Machine Learning Framework for Everyone

docs vs Artificial-Intelligence_resources-and-notebooks Deep-Learning-With-TensorFlow-Blog-series vs TensorFlow-Examples docs vs rpi-urban-mobility-tracker Deep-Learning-With-TensorFlow-Blog-series vs PConv-Keras docs vs tensorflow-deep-learning Deep-Learning-With-TensorFlow-Blog-series vs Artificial-Intelligence_resources-and-notebooks docs vs TensorFlow2.0_Notebooks Deep-Learning-With-TensorFlow-Blog-series vs beginners-only docs vs introtodeeplearning Deep-Learning-With-TensorFlow-Blog-series vs pathway-examples docs vs saliency Deep-Learning-With-TensorFlow-Blog-series vs tensorflow