Software Alternatives, Accelerators & Startups

Crunchbase VS TensorFlow

Compare Crunchbase VS TensorFlow and see what are their differences

Crunchbase logo Crunchbase

Crunchbase is a platform for discovering industry trends, investments, and news about companies around the world.

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.
  • Crunchbase Landing page
    Landing page //
    2023-10-18
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Crunchbase videos

CrunchBase Review and Tutorial

More videos:

  • Review - Crunchbase - How We Find Leads On The Best Startup Directory (2018)
  • Tutorial - How To Make Money Using CRUNCHBASE in Recruiting

TensorFlow videos

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 Crunchbase and TensorFlow)
Sales Tools
100 100%
0% 0
Data Science And Machine Learning
Startups
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Reviews

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

Crunchbase Reviews

We have no reviews of Crunchbase 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.
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...

Social recommendations and mentions

Based on our record, Crunchbase should be more popular than TensorFlow. It has been mentiond 20 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.

Crunchbase mentions (20)

  • How/Where can I contact VCs/Angel Investors?
    Where are you? Go to startup events and meetups. A lot of angel groups have websites that take unsolicited proposals. crunchbase.com might give you some ideas of who to pursue. Source: about 1 year ago
  • Investor Takes 7% Stake in Tiny $QMCI
    Lots of things that make you go Hmmmmmmmm here. New investor (Michael H. Giles) is also CEO of Embed Financial Technologies. More info about him can be found on crunchbase.com . Looks like Mr. Giles has funded, or founded companies that do similar, or complementary things like what $QMCI does. Source: over 1 year ago
  • Is LinkedIn the best site for finding jobs in our field?
    LinkedIn works for most use cases. Glassdoor / Indeed is trash for tech jobs. For startups, it helps to filter down the noise. Topstartups.io is good for that; same with crunchbase.com but they will paywall you hard. Source: over 1 year ago
  • Top 10 Backend Frameworks in 2022
    Ruby on Rails, popularly called Rails, is web application framework written in Ruby programming language. It is based on Model-View-Controller(MVC)-based full-stack web development framework. It is based on the philosophy of Convention over Configuration (CoC), Don't Repeat Yourself (DRY) and the ActiveRecord pattern. Some popular websites built using Ruby on Rails are Airbnb, Bloomberg, Crunchbase, Dribbble,... - Source: dev.to / over 1 year ago
  • Richie named one of the 5 most promising embedded software startups in the US
    We’ve ranked the top 5 Embedded Software funded companies in United States. The companies, startups and institutions listed in this article are all exceptional companies, well worth a follow. We have included links to their websites, socials and CrunchBase (if you’re interested in their financials). Source: almost 2 years ago
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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 Crunchbase and TensorFlow, you can also consider the following products

AngelList - Access top deals through investor-led syndicates

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

PitchBook - PitchBook is an award winning data & technology provider for the global private equity and...

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

ZoomInfo - ZoomInfo is a B2B database providing detailed business information on people and companies.

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