Want to hire Deep Learning developer? Then you should know!
How and where is Deep Learning used?
- Medical Imaging: Diagnosing diseases
- Autonomous Vehicles: Self-driving cars
- Natural Language Processing: Language translation
- Fraud Detection: Identifying fraudulent activities
- Recommendation Systems: Personalized recommendations
- Robotics: Autonomous robots
- Computer Vision: Object recognition
- Speech Recognition: Voice-controlled assistants
- Financial Forecasting: Predicting market trends
- Gaming: Enhancing player experiences
Compare Junior, Middle, Senior, and Expert/Team Lead Deep Learning Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years |
| $60,000 |
Middle | 2-4 years |
| $80,000 |
Senior | 4-6 years |
| $100,000 |
Expert/Team Lead | 6+ years |
| $120,000 |
Quick Facts about Deep Learning.
- Deep learning emerged in 1986 as a method of machine learning.
- Popular projects involving deep learning are image recognition and natural language processing.
- Entry into deep learning requires a solid understanding of linear algebra and calculus.
- Convolutional Neural Networks (CNNs) are among the most popular related technologies to deep learning.
- In 1997, IBM’s Deep Blue became the first computer chess-playing system to defeat a reigning world chess champion, Garry Kasparov.
TOP Deep Learning Related Technologies
- TensorFlow (Google)
- PyTorch (Facebook)
- Keras (Francois Chollet, 2015)
- Caffe (Berkeley AI Research)
- MXNet (Apache)
What are top Deep Learning instruments and tools?
- TensorFlow: Created by Google. Released in 2015.
- PyTorch: Developed by Facebook. Released in 2016.
- Keras: An API designed for TensorFlow. Released in 2015.
- Caffe: Developed by Berkeley AI Research. Released in 2014.
- Theano: Developed by the Montreal Institute for Learning Algorithms. Released in 2007.
- MXNet: Apache Software Foundation project. Released in 2015.
Talk to Our Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Maria Lapko
Global Partnership Manager