Deep-Learning

These are Neural Networks and Deep Learning Course Materials given by deeplearning.ai and Andrew NG.

Learning Objectives

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
Logistic Regression with a Neural Network mindset
Planar data classification with one hidden layer
Building your Deep Neural Network Step by Step
Deep Neural Network Application

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
My Notes		My Notes
datasets		datasets
Building_your_Deep_Neural_Network_Step_by_Step_v8a.ipynb		Building_your_Deep_Neural_Network_Step_by_Step_v8a.ipynb
Convolution_model_Application.ipynb		Convolution_model_Application.ipynb
Convolution_model_Step_by_Step_v1.ipynb		Convolution_model_Step_by_Step_v1.ipynb
Deep+Neural+Network+-+Application+v8.ipynb		Deep+Neural+Network+-+Application+v8.ipynb
Gradient+Checking+v1.ipynb		Gradient+Checking+v1.ipynb
Initialization.ipynb		Initialization.ipynb
Logistic_Regression_with_a_Neural_Network_mindset_v6a.ipynb		Logistic_Regression_with_a_Neural_Network_mindset_v6a.ipynb
Neural_Networks_with_Tensorflow.ipynb		Neural_Networks_with_Tensorflow.ipynb
Notations.pdf		Notations.pdf
Notes.pdf		Notes.pdf
Optimization_methods_v1b.ipynb		Optimization_methods_v1b.ipynb
Planar_data_classification_with_onehidden_layer_v6c.ipynb		Planar_data_classification_with_onehidden_layer_v6c.ipynb
README.md		README.md
Regularization_v2a.ipynb		Regularization_v2a.ipynb
Residual_Networks.ipynb		Residual_Networks.ipynb
TensorFlow_Tutorial_v3b.ipynb		TensorFlow_Tutorial_v3b.ipynb
Transfer_learning_with_MobileNet_v1.ipynb		Transfer_learning_with_MobileNet_v1.ipynb
requirements.txt		requirements.txt

berkayalan/neural-networks-and-deep-learning

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