Deep Learning (PyTorch) Nanodegree Program

This repository contains material related to Udacity's Deep Learning Nanodegree program.

There are also notebooks used as projects for the Nanodegree program. Find the projects in the projects/ folder. In the other folders, you'll be able to find jupyter notebooks containing the labs used in this program.

Table of Contents

1. Introduction to Deep Learning

2. Neural Networks

3. Convolutional Neural Networks

4. Recurrent Neural Networks

5. Generative Adversarial Networks

6. Deploying a Model

7. Run

8. Program Certificate

9. License

Introduction to Deep Learning

Install Anaconda.

Deep Learning Applications.

Jupyter Notebooks.

Matrix Math and NumPy Refresher.

Neural Networks

Introduction to Neural Networks.

Implementing Gradient Descent.

Training Neural Networks.

Sentiment Analysis.

Deep Learning with PyTorch.

Convolutional Neural Networks

Introduction to Convolutional Neural Networks.

Transfer Learning.

Weight Initialization.

Autoencoders.

Style Transfer.

Deep Learning for Cancer Detection.

Recurrent Neural Networks

Introduction to Recurrent Neural Networks.

Long Short-Term Memory Networks (LSTMs).

Implementation of RNN & LSTM.

Hyperparameters.

Embeddings & Word2Vec.

Sentiment Prediction RNN.

Generative Adversarial Networks

Introduction to Generative Adversarial Networks.

Deep Convolutional GANs.

Pix2Pix $ CycleGAN.

Implementing a CycleGAN.

Deploying a Model

Introduction to Deployment.

Building a Model using SageMaker.

Deploying and Using a Model.

Hyperparameter Tuning.

Updating a Model.

Run

In a terminal or command window, navigate to the top-level project directory deep-learning-with-pytorch/ (that contains this README) and run the following command:

jupyter notebook your_jupyter_notebook.ipynb

or

jupyter notebook your_jupyter_notebook.ipynb

on any Jupyter Notebook. This will open the iPython Notebook software and project file in your browser.

I Finally Graduated! 😊

Verify here

License

This project uses the MIT License.