The Artificial Neural Network Software solutions below are the most common alternatives that users and reviewers compare with Google Cloud Deep Learning VM Image. Other important factors to consider when researching alternatives to Google Cloud Deep Learning VM Image include user interface and features. The best overall Google Cloud Deep Learning VM Image alternative is Keras. Other similar apps like Google Cloud Deep Learning VM Image are Microsoft Cognitive Toolkit (Formerly CNTK), AIToolbox, H2O, and NVIDIA Deep Learning GPU Training System (DIGITS). Google Cloud Deep Learning VM Image alternatives can be found in Artificial Neural Network Software but may also be in Machine Learning Software or Data Science and Machine Learning Platforms.
Keras is a neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Microsoft Cognitive Toolkit is an open-source, commercial-grade toolkit that empowers user to harness the intelligence within massive datasets through deep learning by providing uncompromised scaling, speed and accuracy with commercial-grade quality and compatibility with the programming languages and algorithms already use.
AIToolbox is a toolbox of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians, Logistic Regression
NVIDIA Deep Learning GPU Training System (DIGITS) deep learning for data science and research to quickly design deep neural network (DNN) for image classification and object detection tasks using real-time network behavior visualization.
Choose Your Path: Install PyTorch Locally or Launch Instantly on Supported Cloud Platforms
Neuton, an AutoML platform, allows experienced users and those without any experience in Machine Learning to build compact AI models with just a few clicks and without any coding. Neuton is based on a proprietary neural network framework invented and patented by our team of scientists that is far more effective than any other framework, non-neural algorithm on the market. Its resulting models are self-growing, much more compact, fast and require fewer training samples in comparison to those of other solutions.
TFlearn is a modular and transparent deep learning library built on top of Tensorflow that provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while remaining fully transparent and compatible with it.
The AWS Deep Learning AMIs is designed to equip data scientists, machine learning practitioners, and research scientists with the infrastructure and tools to accelerate work in deep learning, in the cloud, at any scale.
DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming based on NumPy's ndarray,has a small and easily extensible codebase, runs on CPU or Nvidia GPUs and implements the following network architectures feedforward networks, convnets, siamese networks and autoencoders.