snrazavi/Deep_Learning_in_Python_2018
Deep Learning workshop including image classification, face recognition, Object detection, language modelling, image captioning and neural machine translation.
This workshop material helps machine learning practitioners learn and apply deep learning techniques using PyTorch. It guides you through building models for tasks like identifying objects in images, recognizing faces, analyzing sentiment in text, and translating languages. The target audience is individuals learning or working with deep learning, aiming to develop practical AI applications.
140 stars. No commits in the last 6 months.
Use this if you are a data scientist, AI engineer, or researcher looking for practical, code-based examples to learn and implement deep learning solutions in computer vision and natural language processing.
Not ideal if you are looking for a conceptual overview without hands-on coding, or if you prefer deep learning frameworks other than PyTorch.
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140
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60
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Jupyter Notebook
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Last pushed
Feb 06, 2023
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