Google Deep Learning Containers vs. Keras Comparison


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About Build your deep learning project quickly on Google Cloud: Quickly prototype with a portable and consistent environment for developing, testing, and deploying your AI applications with Deep Learning Containers. These Docker images use popular frameworks and are performance optimized, compatibility tested, and ready to deploy. Deep Learning Containers provide a consistent environment across Google Cloud services, making it easy to scale in the cloud or shift from on-premises. You have the flexibility to deploy on Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm.	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 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 Those looking for preconfigured and optimized containers for deep learning environments	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 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 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 Google Founded: 1998 United States cloud.google.com/ai-platform/deep-learning-containers	Company Information Keras United States keras.io
Alternatives NVIDIA GPU-Optimized AMI Amazon	Alternatives TensorFlow
Fabric for Deep Learning (FfDL) IBM	PyTorch
Gemini Enterprise Agent Platform Google	AutoKeras
Lambda Lambda.ai	AWS Deep Learning AMIs Amazon
Google Cloud Deep Learning VM Image Google View All	Deeplearning4j View All
Categories AI Cloud Providers Supported AI Infrastructure Supported Deep Learning Supported Machine Learning Supported Neural Network Supported	Categories Deep Learning Supported Neural Network Supported
Deep Learning Features Convolutional Neural Networks Supported Document Classification Supported Image Segmentation Supported ML Algorithm Library Not Supported Model Training Supported Neural Network Modeling Supported Self-Learning Supported Visualization 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 AutoKeras Not Supported Cameralyze Not Supported Cleanlab Not Supported Comet Not Supported Comet LLM Not Supported Database Mart Not Supported Databricks Not Supported Google AI Edge Not Supported Google Compute Engine Supported Graphcore Not Supported JAX Not Supported Jovian Not Supported MLflow Not Supported Radicalbit Not Supported Spell Not Supported StreamFlux Not Supported TruEra Not Supported Unremot Not Supported Zorro Not Supported Show More Integrations View All 5 Integrations	Integrations AutoKeras Supported Cameralyze Supported Cleanlab Supported Comet Supported Comet LLM Supported Database Mart Supported Databricks Supported Google AI Edge Supported Google Compute Engine Not Supported Graphcore Supported JAX Supported Jovian Supported MLflow Supported Radicalbit Supported Spell Supported StreamFlux Supported TruEra Supported Unremot Supported Zorro Supported Show More Integrations View All 51 Integrations
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