Software Alternatives, Accelerators & Startups

Keras VS Success.ai

Compare Keras VS Success.ai and see what are their differences

Keras logo Keras

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

Success.ai logo Success.ai

Achieve unmatched growth with Success.ai. Dive into 700M+ B2B leads and benefit from unlimited emails, automated warmups, and AI-powered writing.
  • Keras Landing page
    Landing page //
    2023-10-16
  • Success.ai Landing page
    Landing page //
    2023-11-14

Success.ai is the ultimate solution for supercharging your outreach. It combines cutting-edge AI technology with a range of powerful features, including lead identification, email personalization, campaign tracking, and unlimited email sending to verified leads.

Keras videos

3. Deep Learning Tutorial (Tensorflow2.0, Keras & Python) - Movie Review Classification

More videos:

  • Review - Movie Review Classifier in Keras | Deep Learning | Binary Classifier
  • Review - EKOR KERAS!! Review and Bike Check DARTMOOR HORNET 2018 // MTB Indonesia

Success.ai videos

No Success.ai videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Keras and Success.ai)
Data Science And Machine Learning
Email Marketing
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Lead Generation
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 Keras and Success.ai

Keras Reviews

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
15 data science tools to consider using in 2021
Keras is a programming interface that enables data scientists to more easily access and use the TensorFlow machine learning platform. It's an open source deep learning API and framework written in Python that runs on top of TensorFlow and is now integrated into that platform. Keras previously supported multiple back ends but was tied exclusively to TensorFlow starting with...

Success.ai Reviews

  1. Elevate with Success.ai

    Success.ai has made a big difference in how I improve myself. it helps me a lot with personalized advice and suggestions from a lot of different topics. it's easy to use and I like being part of a friendly community that keeps me motivated, Success.ai is a must-have for anyone who wants to do better and reach their goals.

    🏁 Competitors: Insightful.io
    👍 Pros:    Personalized content|Diiverse content|Supportive community|User friendly interface|Continuous updates and improvements
    👎 Cons:    None
  2. Empower Your Email Marketing Journey

    I recently started using success.ai for my email marketing campaigns.one of the features that really impressed me is the AI-powered email writer.It makes crafting personalized emails a breeze and has saved me a ton of time.

  3. Providing Everyone with Simple and Efficient Emailing

    Having a smart friend who writes effective emails is similar to having Success.ai. It's not just about sending messages; it's about real connections. You may easily connect with over 700 million professionals by using Success.ai. The way Success.ai streamlines cold emailing and makes it simple and effective is cool. When done correctly, cold emailing may revolutionize the growth of your business. You may try it out for free for 14 days and have access to a tonne of potential leads. Although there have been a few reported bugs, they are infrequent and hardly a deal-breaker. Because of Success.ai's effectiveness, users adore it overall. To put it briefly, Success.ai is essential for optimizing and enhancing email marketing. It is a game-changer for business growth with its extensive database, intuitive design, and dependable support.

    The best part? Success.ai has your back 24/7 with a dedicated support team, so you're never left hanging.

    👍 Pros:    A huge database full of possible leads|Easy to employ|Enjoy a 14-day free trial of it.|A helpful support staff that is always ready
    👎 Cons:    While a few users have noticed minor problems, they don't appear to be major ones.

Social recommendations and mentions

Based on our record, Keras seems to be more popular. It has been mentiond 32 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.

Keras mentions (32)

  • Using Google Magika to build an AI-powered file type detector
    The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 6 days ago
  • My Favorite DevTools to Build AI/ML Applications!
    As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 2 months ago
  • Getting Started with Gemma Models
    After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 2 months ago
  • How popular are libraries in each technology
    Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 12 months ago
  • Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
    I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
View more

Success.ai mentions (0)

We have not tracked any mentions of Success.ai yet. Tracking of Success.ai recommendations started around Sep 2023.

What are some alternatives?

When comparing Keras and Success.ai, you can also consider the following products

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.

Instantly - Build your own infinitely scalable cold email outreach system with Instantly.

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

SmartLead.ai - Email Automation Platform

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

lemlist - Send emails that get replies 💌