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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

We collaborate closely with enterprises to identify the prevalent challenges that hinder organizations from achieving their desired outcomes. Our designs aim to unlock possibilities that traditional methods have rendered impractical. Both large and small corporations need an AI platform that provides full empowerment and ownership. It is crucial to address data privacy while implementing AI solutions in a cost-effective manner. By improving operational efficiency, we enhance human work rather than replace it. Our application of AI allows for the automation of repetitive or hazardous tasks, minimizing the need for human involvement and accelerating processes with creativity and empathy. Machine Learning equips applications with seamless predictive capabilities, enabling the construction of classification and regression models. Additionally, it offers functionalities for clustering and visualizing different groupings. Supporting an array of ML libraries such as Weka, Scikit-Learn, H2O, and Tensorflow, it encompasses approximately 22 distinct algorithms tailored for developing classification, regression, and clustering models. This versatility ensures that businesses can adapt and thrive in a rapidly evolving technological landscape.

Description

TFlearn is a flexible and clear deep learning framework that operates on top of TensorFlow. Its primary aim is to offer a more user-friendly API for TensorFlow, which accelerates the experimentation process while ensuring complete compatibility and clarity with the underlying framework. The library provides an accessible high-level interface for developing deep neural networks, complete with tutorials and examples for guidance. It facilitates rapid prototyping through its modular design, which includes built-in neural network layers, regularizers, optimizers, and metrics. Users benefit from full transparency regarding TensorFlow, as all functions are tensor-based and can be utilized independently of TFLearn. Additionally, it features robust helper functions to assist in training any TensorFlow graph, accommodating multiple inputs, outputs, and optimization strategies. The graph visualization is user-friendly and aesthetically pleasing, offering insights into weights, gradients, activations, and more. Moreover, the high-level API supports a wide range of contemporary deep learning architectures, encompassing Convolutions, LSTM, BiRNN, BatchNorm, PReLU, Residual networks, and Generative networks, making it a versatile tool for researchers and developers alike.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

TensorFlow No 

Integrations

TensorFlow Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Spotflock

Founded

2017

Country

India

Website

intellihub.ai/

Vendor Details

Company Name

TFLearn

Website

tflearn.org

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Alternatives

Weka Reviews

Weka

University of Waikato
TensorBoard Reviews

TensorBoard

Tensorflow
ML.NET Reviews

ML.NET

Microsoft