开源软件名称:amanchadha/coursera-deep-learning-specialization开源软件地址:https://github.com/amanchadha/coursera-deep-learning-specialization开源编程语言:Jupyter Notebook 98.6%开源软件介绍:Deep Learning Specialization on Coursera (offered by deeplearning.ai)Programming assignments and quizzes from all courses in the Coursera Deep Learning specialization offered by Instructor: Andrew Ng Noteswww.aman.ai.For detailed interview-ready notes on all courses in the Coursera Deep Learning specialization, referSetupRun CreditsThis repo contains my work for this specialization. The code base, quiz questions and diagrams are taken from the Deep Learning Specialization on Coursera, unless specified otherwise. 2021 VersionThis specialization was updated in April 2021 to include developments in deep learning and programming frameworks, with the biggest change being shifting from TensorFlow 1 to TensorFlow 2. This repo has been updated accordingly as well. Programming AssignmentsCourse 1: Neural Networks and Deep Learning
Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Course 3: Structuring Machine Learning Projects
Course 4: Convolutional Neural Networks
Course 5: Sequence Models
Quiz SolutionsCourse 1: Neural Networks and Deep Learning
Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Course 3: Structuring Machine Learning Projects
Course 4: Convolutional Neural Networks
Course 5: Sequence Models
DisclaimerI recognize the time people spend on building intuition, understanding new concepts and debugging assignments. The solutions uploaded here are only for reference. They are meant to unblock you if you get stuck somewhere. Please do not copy any part of the code as-is (the programming assignments are fairly easy if you read the instructions carefully). Similarly, try out the quizzes yourself before you refer to the quiz solutions. This course is the most straight-forward deep learning course I have ever taken, with fabulous course content and structure. It's a treasure by the deeplearning.ai team. |
2023-10-27
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