Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 3 Ratings

Total
ease
features
design
support

Alternatives to Consider

  • Google Cloud Speech-to-Text Reviews & Ratings
    361 Ratings
    Company Website
  • Qloo Reviews & Ratings
    23 Ratings
    Company Website
  • Fraud.net Reviews & Ratings
    56 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    961 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    28 Ratings
    Company Website
  • PathSolutions TotalView Reviews & Ratings
    43 Ratings
    Company Website
  • Azore CFD Reviews & Ratings
    24 Ratings
    Company Website
  • Quick Consols Reviews & Ratings
    49 Ratings
    Company Website
  • Auvik Reviews & Ratings
    668 Ratings
    Company Website
  • ManageEngine EventLog Analyzer Reviews & Ratings
    210 Ratings
    Company Website

What is TFLearn?

TFlearn is an intuitive and adaptable deep learning framework built on TensorFlow that aims to provide a more approachable API, thereby streamlining the experimentation process while maintaining complete compatibility with its foundational structure. Its design offers an easy-to-navigate high-level interface for crafting deep neural networks, supplemented with comprehensive tutorials and illustrative examples for user support. By enabling rapid prototyping with its modular architecture, TFlearn incorporates various built-in components such as neural network layers, regularizers, optimizers, and metrics. Users gain full visibility into TensorFlow, as all operations are tensor-centric and can function independently from TFLearn. The framework also includes powerful helper functions that aid in training any TensorFlow graph, allowing for the management of multiple inputs, outputs, and optimization methods. Additionally, the visually appealing graph visualization provides valuable insights into aspects like weights, gradients, and activations. The high-level API further accommodates a diverse array of modern deep learning architectures, including Convolutions, LSTM, BiRNN, BatchNorm, PReLU, Residual networks, and Generative networks, making it an invaluable resource for both researchers and developers. Furthermore, its extensive functionality fosters an environment conducive to innovation and experimentation in deep learning projects.

What is Microsoft Cognitive Toolkit?

The Microsoft Cognitive Toolkit (CNTK) is an open-source framework that facilitates high-performance distributed deep learning applications. It models neural networks using a series of computational operations structured in a directed graph format. Developers can easily implement and combine numerous well-known model architectures such as feed-forward deep neural networks (DNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs/LSTMs). By employing stochastic gradient descent (SGD) and error backpropagation learning, CNTK supports automatic differentiation and allows for parallel processing across multiple GPUs and server environments. The toolkit can function as a library within Python, C#, or C++ applications, or it can be used as a standalone machine-learning tool that utilizes its own model description language, BrainScript. Furthermore, CNTK's model evaluation features can be accessed from Java applications, enhancing its versatility. It is compatible with 64-bit Linux and 64-bit Windows operating systems. Users have the flexibility to either download pre-compiled binary packages or build the toolkit from the source code available on GitHub, depending on their preferences and technical expertise. This broad compatibility and adaptability make CNTK an invaluable resource for developers aiming to implement deep learning in their projects, ensuring that they can tailor their tools to meet specific needs effectively.

Media

Media

Integrations Supported

AI Skills Navigator
Alteryx
AssurX
AuraQuantic
Azure Data Science Virtual Machines
Azure Database for MariaDB
Microsoft Dynamics 365 Finance
Microsoft Dynamics Supply Chain Management
Microsoft Power Platform
TensorFlow

Integrations Supported

AI Skills Navigator
Alteryx
AssurX
AuraQuantic
Azure Data Science Virtual Machines
Azure Database for MariaDB
Microsoft Dynamics 365 Finance
Microsoft Dynamics Supply Chain Management
Microsoft Power Platform
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TFLearn

Company Website

tflearn.org

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

docs.microsoft.com/en-us/cognitive-toolkit/

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Popular Alternatives

Popular Alternatives

TF-Agents Reviews & Ratings

TF-Agents

Tensorflow
Neural Designer Reviews & Ratings

Neural Designer

Artelnics