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About Deep Analyzer

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Deep Analyzer Details

Vendor
IBM
Year Launched
Location
New Orchard Road, Armonk, New York, 10504, United States
Deployment
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, French, German, Spanish, Italian, Portuguese, Dutch, Chinese, Japanese, Korean, Russian, Arabic, Hindi, Turkish, Polish, Swedish
Users
Data Scientists, Machine Learning Engineers, AI Researchers, Data Analysts, Business Analysts, Software Developers
Industries Served
Healthcare, Education, Finance, Retail, Agriculture, Manufacturing, Transportation, Energy, Telecommunications, Government, Media
Tags
Deep Learning, Machine Learning, Data Analysis, Artificial Intelligence, IBM

Deep Analyzer's In-App Market Place

Does Deep Analyzer have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

9

Mini Apps

1. TensorFlow: An open-source machine learning framework for building and training deep learning models.

2. PyTorch: A machine learning library that offers flexibility and speed for building deep learning models.

3. Keras: A high-level neural networks API that is designed for building deep learning models with ease.

4. Scikit-learn: A simple and efficient tool for data mining and data analysis

which includes various machine learning algorithms.

5. Jupyter Notebook: An open-source web application that allows users to create and share documents that contain live code

equations

visualizations

and narrative text.

Pricing Options

Free trial
Free version
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Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), JPY (¥), CAD (C$), CNY (¥), INR (₹), CHF (Fr), RUB (₽), MXN (Mex$), BRL (R$), KRW (₩), RSD (дин.), SEK (kr), ZAR (R), SGD (S$), NOK (kr), TRY (₺), AED (د.إ), NZD (NZ$), HKD (HK$), DKK (kr), SAR (ر.س), PLN (zł), IDR (Rp), NaN (NaN)

Pros & Cons

  • Provides advanced tools and algorithms for deep learning analysis
  • Allows for faster and more accurate data processing and pattern recognition
  • Supports large scale data sets for in-depth analysis
  • Offers visualization tools for easy interpretation of results
  • Integrates seamlessly with other IBM software for comprehensive data analytics solutions
  • Steep learning curve for newcomers to deep learning technologies
  • Limited customization options for advanced users
  • Requires high computational power and resources which may be costly
  • Lack of user-friendly documentation and support resources
  • Limited compatibility with other software and tools

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