Create ML vs. TensorFlow Comparison


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About Experience an entirely new way of training machine learning models on your Mac. Create ML takes the complexity out of model training while producing powerful Core ML models. Train multiple models using different datasets, all in a single project. Preview your model performance using Continuity with your iPhone camera and microphone on your Mac, or drop in sample data. Pause, save, resume, and extend your training process. Interactively learn how your model performs on test data from your evaluation set. Explore key metrics and their connections to specific examples to help identify challenging use cases, further investments in data collection, and opportunities to help improve model quality. Use an external graphics processing unit with your Mac for even better model training performance. Train models blazingly fast right on your Mac while taking advantage of CPU and GPU. Create ML has a variety of model types to choose from.	About An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.
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 Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Professional users seeking a tool to train multiple machine learning models using different datasets	Audience Organizations interested in a powerful open source machine learning platform
Support Phone Support Not 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 Not 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 Free Free Version 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 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros TensorFlow is awesome for learning and executing machine learning, machine learning models, applications, and more. It's free and open source, and easy to get started. Cons Not much I don't like about TensorFlow. It's free and open source so how can you dislike it?
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 Apple United States developer.apple.com/machine-learning/create-ml/	Company Information TensorFlow Founded: 2015 United States www.tensorflow.org
Alternatives 3LC	Alternatives Gemini Enterprise Agent Platform Google
Amazon SageMaker Model Training Amazon	Amazon Rekognition Amazon
Tencent Cloud TI Platform Tencent	Amazon SageMaker Amazon
Baidu AI Cloud Machine Learning (BML) Baidu	Azure Machine Learning Microsoft
FinetuneFast View All	Kubeflow View All
Categories AI/ML Model Training Supported Machine Learning Supported	Categories AI Development Supported AI/ML Model Training Supported Machine Learning Supported ML Experiment Tracking Supported ML Model Deployment Supported ML Model Management Supported Quantum Computing Supported
	Machine Learning Features Deep Learning Not Supported ML Algorithm Library Not Supported Model Training Supported Natural Language Processing (NLP) Not Supported Predictive Modeling Not Supported Statistical / Mathematical Tools Supported Templates Not Supported Visualization Supported
Integrations AUSIS Not Supported Amazon Elastic Inference Not Supported Amazon SageMaker Studio Not Supported Azure Data Science Virtual Machines Not Supported Cleanlab Not Supported Collimator Not Supported Databricks Not Supported Fabric for Deep Learning (FfDL) Not Supported GPUonCLOUD Not Supported Gemma Not Supported Google AI Edge Not Supported Gradient Not Supported IBM SPSS Modeler Not Supported IBM Watson Studio Not Supported Polyaxon Not Supported RazorThink Not Supported Runpod Not Supported Segments.ai Not Supported SynapseAI Not Supported io.net Not Supported Show More Integrations	Integrations AUSIS Supported Amazon Elastic Inference Supported Amazon SageMaker Studio Supported Azure Data Science Virtual Machines Supported Cleanlab Supported Collimator Supported Databricks Supported Fabric for Deep Learning (FfDL) Supported GPUonCLOUD Supported Gemma Supported Google AI Edge Supported Gradient Supported IBM SPSS Modeler Supported IBM Watson Studio Supported Polyaxon Supported RazorThink Supported Runpod Supported Segments.ai Supported SynapseAI Supported io.net Supported Show More Integrations View All 193 Integrations
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