m2dsupsdlclass/lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
This collection provides comprehensive educational materials for understanding and applying Deep Learning techniques. It offers lecture slides to explain core concepts and Jupyter notebooks with practical code examples for various applications, from image classification to recommender systems. Data science students and professionals looking to learn or reinforce their Deep Learning knowledge would benefit from these resources.
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Use this if you are a data science student or practitioner seeking to learn Deep Learning with a focus on practical applications and hands-on coding exercises.
Not ideal if you are looking for a highly theoretical treatment of Deep Learning without practical coding examples, or if you prefer a different programming framework than Keras/TensorFlow/PyTorch.
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Aug 16, 2024
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