DNNs
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Explore more → **DNNs**
What is DNNs?
Deep Neural Networks (DNNs) are artificial neural networks with multiple layers between the input and output layers. They are used in a variety of applications, including image recognition, natural language processing, and speech recognition. DNNs learn complex patterns from large datasets by extracting hierarchical features through these multiple layers.
What other technologies are related to DNNs?
DNNs Complementary Technologies
CNNs
CNNs are a specific type of DNN architecture commonly used for image and video processing, thus complementing DNNs.
PyTorch
PyTorch is a deep learning framework used to implement and train DNNs, therefore it complements DNNs.
TensorFlow
TensorFlow is a deep learning framework used to implement and train DNNs, therefore it complements DNNs.
Number of organizations that mention technology
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Which job functions commonly mention DNNs?
Applied Scientist
0.1% of all Applied Scientist jobs mention DNNs
View 10
jobs on Sumble
Machine Learning
0.1% of all Machine Learning jobs mention DNNs
View 59
jobs on Sumble
AI Engineer
18 AI Engineer jobs mention DNNs
View 18
jobs on Sumble
Data Scientist
11 Data Scientist jobs mention DNNs
View 11
jobs on Sumble
Engineer
68 Engineer jobs mention DNNs
View 68
jobs on Sumble
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