Top Deep Learning Companies in Wilmington


3 Companies

Mobiloitte Inc. is a USA-based Blockchain and Metaverse Company that delivers outstanding solutions to their clients on time. EXPERIENCE: EXCELLENCE: EXUBERANCE is our work mantra for Go-to-Market Strategy of our customers. With a skilled workforce of 500+ team members, Mobiloitte is equally at ease of working with: Start-Ups, Small & Medium Enterprises, Large Enterprises, Development Sector, Public-Private Partnerships & Governments. More than 5000 projects in last 10 years are a testimony to that. Experience: 4500+ Projects Delivered Total earned: $6M+ Worked with Startups & Enterprises in 90 countries Certification: Nasscom Accreditation | ISO Certified Company | LINUX Blockchain Certified | Drupal Partners | FICCI | NSIC | MSME Mobiloitte is always focused to adopt its servRead More

  • dollar

    <$25/hr

  • user

    250 to 499

  • calender

    2004

  • location

    United States (USA)

Best Web3 Development is a global leader aiming to deliver reliable results for our clients. We have partnered with renowned enterprises that have the potential to handle paramount challenges and grab topmost opportunities. We have successfully built a deep sense of association with the global communities to impact the world significantly. What Do We Deliver? Best Web3 Solution is among the top companies that create and implement innovative business strategies. We work meticulously with the clients to seize a revolutionary approach by benefitting the stakeholders. We help organizations create a positive impact on the people with highly sustainable programs. Our team is determined to spot the potential and make alterations with unified solutions via contemporary technologies and awesome cRead More

  • dollar

    $25-49/hr

  • user

    250 to 499

  • calender

    2013

  • location

    United States (USA)

Mobiloitte is Premier Blockchain & Metaverse Software Development Company with a special focus on Security, Scale, and Performance. MOBILOITTE Group is headquartered in New Delhi India and has offices in Pune India, Boston, London, and Singapore. The company has worked with more than 5250+ clients globally since its beginning in 2009 with an astonishing success rate. ============================================================================== KEY SERVICES, SOLUTIONS: BLOCKCHAIN | METAVERSE | GAMES | AI/ML | IoT | CLOUD | DEVOPS | MOBILE APPS | WEB APPS. ============================================================================== BOT, Blockchain Forks, Metaverse, Own Blockchains, 2D-3D Games, Open AI OPL-Stack,Pincone, Langchain, CEX, DEX, P2E, M2E,NFT Marketplace, Staking, LRead More

  • dollar

    $100-149/hr

  • user

    500 to 999

  • calender

    2004

  • location

    United States (USA)

Frequently Asked Questions

Deep Learning is a subset of Artificial Intelligence that uses neural networks with multiple layers to learn from large amounts of data. It's particularly effective for tasks like image and speech recognition.

Deep Learning can automatically discover the features to be used for classification, while traditional Machine Learning requires manual feature engineering. Deep Learning also generally performs better with large amounts of data.

Deep Learning is used in various business applications, including customer service chatbots, fraud detection, personalized recommendations, and predictive maintenance in manufacturing.

Deep Learning typically requires large amounts of labeled data. The type of data depends on the project, but it can include images, text, audio, or numerical data.

The implementation time can vary greatly depending on the complexity of the problem, the amount of data available, and the expertise of the team. It can range from a few weeks to several months.

Some drawbacks include the need for large amounts of data, high computational requirements, the "black box" nature of decision-making, and potential biases in the training data.

Deep Learning often outperforms other AI techniques in tasks involving unstructured data like images or text, especially when large datasets are available. However, for simpler tasks or with limited data, traditional machine learning methods may be more suitable.

Deep Learning often requires powerful GPUs or specialized hardware, substantial storage for large datasets, and robust cloud computing resources. The specific needs depend on the scale and complexity of the project.

Businesses should focus on data privacy, model transparency, regular bias checks, and establishing clear guidelines for the use and deployment of Deep Learning systems. It's also important to have human oversight and intervention mechanisms.

A successful Deep Learning team typically needs data scientists, machine learning engineers, software developers, domain experts, and data engineers. Skills in Python, neural network architectures, and big data technologies are often required.