IntelliHub vs. Keras Comparison


IntelliHub Spotflock	Keras	+	+
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About We work closely with businesses to find out what are the common issues preventing companies from realising benefits. We design to open up opportunities that were previously not viable using conventional approaches Corporations -big and small, require an AI platform with complete empowerment and ownership. Tackle data privacy and adopt to AI platforms at a sustainable cost. Enhance the efficiency of businesses and augment the work humans do. We apply AI to gain control over repetitive or dangerous tasks and bypass human intervention, thereby expediting tasks with creativity and empathy. Machine Learning helps to give predictive capabilities to applications with ease. You can build classification and regression models. It can also do clustering and visualize different clusters. It supports multiple ML libraries like Weka, Scikit-Learn, H2O and Tensorflow. It includes around 22 different algorithms for building classification, regression and clustering models.	About Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It also has extensive documentation and developer guides. Keras is the most used deep learning framework among top-5 winning teams on Kaggle. Because Keras makes it easier to run new experiments, it empowers you to try more ideas than your competition, faster. And this is how you win. Built on top of TensorFlow 2.0, Keras is an industry-strength framework that can scale to large clusters of GPUs or an entire TPU pod. It's not only possible; it's easy. Take advantage of the full deployment capabilities of the TensorFlow platform. You can export Keras models to JavaScript to run directly in the browser, to TF Lite to run on iOS, Android, and embedded devices. It's also easy to serve Keras models as via a web API.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Supported iPad Supported Android Supported Chromebook Not Supported
Audience Deep learning solution for companies	Audience Developers interested in an deep learning API solution to minimize the number of user actions required for common use cases
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros I mostly code in Python, so using Keras for my deep learning needs wasn't too hard to get used to, given the abundance of documentation and ease of writing modular code with its API. Cons Keras only has high level APIs, unlike Tensorflow, which has both high and low level support.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Spotflock Founded: 2017 India intellihub.ai/	Company Information Keras United States keras.io
Alternatives Weka University of Waikato	Alternatives TensorFlow
Google Cloud Deep Learning VM Image Google	PyTorch
ML.NET Microsoft	AutoKeras
Dask	AWS Deep Learning AMIs Amazon
Azure Databricks Microsoft View All	Deeplearning4j View All
Categories Deep Learning Supported	Categories Deep Learning Supported Neural Network Supported
	Deep Learning Features Convolutional Neural Networks Supported Document Classification Not Supported Image Segmentation Not Supported ML Algorithm Library Not Supported Model Training Not Supported Neural Network Modeling Not Supported Self-Learning Not Supported Visualization Supported
Integrations Akira AI Not Supported BentoML Not Supported Cleanlab Not Supported Comet Not Supported Comet LLM Not Supported Databricks Not Supported Dragonfly 3D World Not Supported GPUEater Not Supported Gradient Not Supported Guild AI Not Supported Horovod Not Supported Jovian Not Supported ModelOp Not Supported OpenVINO Not Supported Radicalbit Not Supported TensorFlow Not Supported TruEra Not Supported neptune.ai Not Supported teX.ai Not Supported Show More Integrations	Integrations Akira AI Supported BentoML Supported Cleanlab Supported Comet Supported Comet LLM Supported Databricks Supported Dragonfly 3D World Supported GPUEater Supported Gradient Supported Guild AI Supported Horovod Supported Jovian Supported ModelOp Supported OpenVINO Supported Radicalbit Supported TensorFlow Supported TruEra Supported neptune.ai Supported teX.ai Supported Show More Integrations View All 51 Integrations
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