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This is my assignment on Andrew Ng's course “neural networks and deep learning”
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| 2026-08-05 | 492 |
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# Neural-Networks-and-Deep-Learning
* This is my assignment on Andrew Ng's special course "[***Deep Learning Specialization***](https://www.coursera.org/specializations/deep-learning)" This special course consists of five courses:
* [***Neural Networks and Deep Learning***](https://www.coursera.org/learn/neural-networks-deep-learning/home/welcome)
* [***Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization***](https://www.coursera.org/learn/deep-neural-network/home/welcome)
* [***Structuring Machine Learning Projects***](https://www.coursera.org/learn/machine-learning-projects/home/welcome)
* [***Convolutional Neural Networks***](https://www.coursera.org/learn/convolutional-neural-networks)
* [***Sequence Models***](https://www.coursera.org/learn/nlp-sequence-models)
* [***Neural Networks and Deep Learning***](https://www.coursera.org/learn/neural-networks-deep-learning/home/welcome)
* In this course, you will learn the foundations of deep learning. When you finish this class, you will:
* Understand the major technology trends driving Deep Learning
* Be able to build, train and apply fully connected deep neural networks
* Know how to implement efficient (vectorized) neural networks
* Understand the key parameters in a neural network's architecture
* This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to a your own applications. If you are looking for a job in AI, after this course you will also be able to answer basic interview questions.
* Programming Assignments:
* Python Basics with Numpy [[notebook]](https://github.com/fanghao6666/neural-networks-and-deep-learning/blob/master/notebook/Python%20Basics%20With%20Numpy%20v3.ipynb) [[py]](https://github.com/fanghao6666/neural-networks-and-deep-learning/blob/master/py/Python%20Basics%20With%20Numpy%20v3.py)
* Logistic Regression with a Neural Network mindset v3 [[notebook]](https://github.com/fanghao6666/neural-networks-and-deep-learning/blob/master/notebook/Logistic%20Regression%20with%20a%20Neural%20Network%20mindset%20v3.ipynb) [[py]](https://github.com/fanghao6666/neural-networks-and-deep-learning/blob/master/py/Logistic%20Regression%20with%20a%20Neural%20Network%20mindset%20v3.py)
* Planar data classification with one hidden layer v3 [[notebook]](https://github.com/fanghao6666/neural-networks-and-deep-learning/blob/master/notebook/Planar%20data%20classification%20with%20one%20hidden%20layer%20v3.ipynb) [[py]](https://github.com/fanghao6666/neural-networks-and-deep-learning/blob/master/py/Planar%20data%20classification%20with%20one%20hidden%20layer%20v3.py)
* Building your Deep Neural Network Step by Step v3 [[notebook]](https://github.com/fanghao6666/neural-networks-and-deep-learning/blob/master/notebook/Building%20your%20Deep%20Neural%20Network%20Step%20by%20Step%20v3.ipynb) [[py]](https://github.com/fanghao6666/neural-networks-and-deep-learning/blob/master/py/Building%20your%20Deep%20Neural%20Network%20Step%20by%20Step%20v3.py)
* Deep Neural Network Application v3 [[notebook]](https://github.com/fanghao6666/neural-networks-and-deep-learning/blob/master/notebook/Deep%20Neural%20Network%20Application%20v3.ipynb) [[py]](https://github.com/fanghao6666/neural-networks-and-deep-learning/blob/master/py/Deep%20Neural%20Network%20Application%20v3.py)
* [***Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization***](https://www.coursera.org/learn/deep-neural-network/home/welcome)
* When you finish this class, you will:
* Understand industry best-practices for building deep learning applications.
* Be able to effectively use the common neural network "tricks", including initialization, L2 and dropout reExcerpt of 13,013 characters
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matched fp:1f18be8d56daebee, llm:description: 'This is my assignment on Andrew Ng\'s course “neural networks and deep learning”'; language: Jupyter Notebook
matched fp:1f18be8d56daebee, llm:description: 'This is my assignment on Andrew Ng\'s course “neural networks and deep learning”'; language: Jupyter Notebook