What are the mainstream deep learning open source tools? (Multiple choice)

Question

Options

• ATensorFlow
• BCaffe
• CTorch
• DTheano
• EScikit..Jeam

• A
  73% (48)
• E
  27% (18)

Explanation

A (TensorFlow), B (Caffe), C (Torch), and D (Theano) are all legitimate, widely-adopted open source deep learning frameworks that shaped the field. TensorFlow (Google) and Theano (Montreal Institute) pioneered symbolic computation graphs; Caffe (Berkeley) became the standard for image classification research; and Torch (later PyTorch) introduced dynamic computation graphs popular in academia.

E (Scikit-learn) is the distractor - note the question misspells it as "Scikit..Jeam." Scikit-learn is a general-purpose machine learning library focused on classical ML algorithms (SVMs, decision trees, clustering), not deep learning. It lacks GPU support and neural network primitives central to deep learning frameworks.

Memory tip: Think "TCCT" - the four correct answers all have explicit neural network graph engines at their core, while Scikit-learn is the "classical ML" library you reach for before you need deep learning.

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