Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Illuminate the black box and install 3LC to acquire the insights necessary for implementing impactful modifications to your models in no time. Eliminate uncertainty from the training process and enable rapid iterations. Gather metrics for each sample and view them directly in your browser. Scrutinize your training process and address any problems within your dataset. Engage in model-driven, interactive data debugging and improvements. Identify crucial or underperforming samples to comprehend what works well and where your model encounters difficulties. Enhance your model in various ways by adjusting the weight of your data. Apply minimal, non-intrusive edits to individual samples or in bulk. Keep a record of all alterations and revert to earlier versions whenever needed. Explore beyond conventional experiment tracking with metrics that are specific to each sample and epoch, along with detailed data monitoring. Consolidate metrics based on sample characteristics instead of merely by epoch to uncover subtle trends. Connect each training session to a particular dataset version to ensure complete reproducibility. By doing so, you can create a more robust and responsive model that evolves continuously.

Description

Enhance the efficiency of your deep learning projects and reduce the time it takes to realize value through AI model training and inference. As technology continues to improve in areas like computation, algorithms, and data accessibility, more businesses are embracing deep learning to derive and expand insights in fields such as speech recognition, natural language processing, and image classification. This powerful technology is capable of analyzing text, images, audio, and video on a large scale, allowing for the generation of patterns used in recommendation systems, sentiment analysis, financial risk assessments, and anomaly detection. The significant computational resources needed to handle neural networks stem from their complexity, including multiple layers and substantial training data requirements. Additionally, organizations face challenges in demonstrating the effectiveness of deep learning initiatives that are executed in isolation, which can hinder broader adoption and integration. The shift towards more collaborative approaches may help mitigate these issues and enhance the overall impact of deep learning strategies within companies.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AUSIS No 
Amazon Web Services (AWS) Yes 
Apache Arrow Yes 
Apache Parquet Yes 
Google Cloud Platform Yes 
Google Colab Yes 
Hugging Face Yes 
IBM Intelligent Video Analytics No 
Jupyter Notebook Yes 
Microsoft Azure Yes 
NumPy Yes 
PyTorch Yes 
Python Yes 
pandas Yes 

Integrations

AUSIS Yes 
Amazon Web Services (AWS) No 
Apache Arrow No 
Apache Parquet No 
Google Cloud Platform No 
Google Colab No 
Hugging Face No 
IBM Intelligent Video Analytics Yes 
Jupyter Notebook No 
Microsoft Azure No 
NumPy No 
PyTorch No 
Python No 
pandas No 

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

Customer Support

Business Hours No 
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

3LC

Website

3lc.ai/

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/deep-learning-platform

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates 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 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training Yes 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

Create ML Reviews

Create ML

Apple
AWS Neuron Reviews

AWS Neuron

Amazon Web Services
AcqKnowledge Reviews

AcqKnowledge

BIOPAC Systems