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Contractbook VS TensorFlow

Compare Contractbook VS TensorFlow and see what are their differences

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Contractbook logo Contractbook

Helping businesses scale with future-proof contracts

TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
  • Contractbook Landing page
    Landing page //
    2022-07-12

Contractbook turns static contracts into a database for the entire organization, unlocking the full value of your data - ensuring transparency and a seamless data flow between tools. Funded by investors including Tiger Global, Bessemer Venture Partners, and Gradient Ventures, Contractbook was founded in Copenhagen in 2017 and serves over 250,000 users in more than 85 countries. Step into the new era and take control of your contracts at contractbook.com.

  • TensorFlow Landing page
    Landing page //
    2023-06-19

Contractbook

Website
contractbook.com
Pricing URL
Official Contractbook Pricing
$ Details
paid $999.0 / Monthly (Foundation Plan (Contact us for more information))
Platforms
Salesforce Slack Hubspot Pipedrive
Release Date
2016 January
Startup details
Country
Denmark
State
Hovedstaden
City
Copenhagen
Founder(s)
Jarek Owczarek
Employees
50 - 99
Edit details

TensorFlow

Website
tensorflow.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

Contractbook features and specs

  • Demo: https://contractbook.com/book-a-meeting-partner
  • Partnership: https://contractbook.com/partnership

TensorFlow features and specs

No features have been listed yet.

Contractbook videos

+ Add

Contractbook Explainer

More videos:

  • Review - The Contractbook signing experience
  • Review - Creating and Managing Teams in Contractbook

TensorFlow videos

+ Add

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to Contractbook and TensorFlow)

Contractbook

TensorFlow

Contract Management
100 100%
Contract Management
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Document Automation
100 100%
Document Automation
0% 0
AI
0 0%
AI
100% 100

User comments

Share your experience with using Contractbook and TensorFlow. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Contractbook and TensorFlow

Contractbook Reviews

We have no reviews of Contractbook yet.
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TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...
Source: www.assemblyai.com

Social recommendations and mentions

Based on our record, TensorFlow seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Contractbook mentions (0)

We have not tracked any mentions of Contractbook yet. Tracking of Contractbook recommendations started around Mar 2021.

TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
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What are some alternatives?

When comparing Contractbook and TensorFlow, you can also consider the following products

ContractWorks - ContractWorks provides secure and easy-to-use contract management software that helps you gain control of your contracts.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

PandaDoc - Boost your revenue with PandaDoc. A document automation tool that delivers higher close rates and shorter sales cycles. We've helped over 30,000+ companies.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Juro - Juro is a contract automation platform that enables your team to create, execute and monitor routine contracts at scale without ever leaving the browser.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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