nishant-sethi/DeepLearning.ai
This is my assignment on Andrew Ng's special course "Deep Learning Specialization" This course consists of five courses: Neural Networks and Deep Learning Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Structuring Machine Learning Projects Convolutional Neural Networks Sequence Models
This collection of assignments helps you practice and solidify your understanding of core concepts in deep learning. You'll work through practical examples covering neural network fundamentals, optimization techniques, and specialized models for images and text. This is ideal for learners and practitioners looking to review or reinforce their deep learning knowledge.
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Use this if you are studying deep learning and want to work through practical problems to understand how different models and techniques are applied.
Not ideal if you are looking for a ready-to-use tool or application for a specific real-world problem, as this is primarily an educational resource.
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Jupyter Notebook
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Apache-2.0
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Last pushed
Mar 12, 2019
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