Hiring Neural Networks developers? Then you should know!
How and where is Neural Networks used?
- Image Recognition: Identifying objects in images
- Natural Language Processing: Analyzing and generating human language
- Speech Recognition: Converting spoken language into text
- Anomaly Detection: Identifying unusual patterns in data
- Recommendation Systems: Providing personalized recommendations
- Autonomous Vehicles: Enabling self-driving cars
- Healthcare Diagnostics: Assisting in medical image analysis
- Financial Forecasting: Predicting market trends
- Robotics: Controlling robotic movements
- Virtual Assistants: Enhancing user interactions
Compare Junior, Middle, Senior, and Expert/Team Lead Neural Networks Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years |
| $60,000 |
Middle | 3-5 years |
| $80,000 |
Senior | 6-8 years |
| $100,000 |
Expert/Team Lead | 9+ years |
| $120,000 |
Quick Facts about Neural Networks.
- Neural Networks software development originated in 1957.
- Common project types include image recognition and NLP.
- The entry threshold for this technology is moderate.
- Deep learning is the most popular related technology.
- Fun fact: Neural networks can learn to generate art!
TOP Neural Networks Related Technologies
- TensorFlow
- Keras
- PyTorch
- Caffe
- Theano
- Microsoft Cognitive Toolkit (CNTK)
- Apache MXNet
What are top Neural Networks instruments and tools?
- TensorFlow: A powerful open-source tool by Google, released in 2015
- PyTorch: Developed by Facebook AI Research, released in 2016
- Keras: A user-friendly tool by François Chollet, released in 2015
- Caffe: Developed by the Berkeley Vision and Learning Center, released in 2014
- MXNet: Apache Software Foundation’s creation, released in 2015
- Chainer: A flexible tool from Preferred Networks, released in 2015
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