This repository contains a series of Deep Learning projects ranging from Computer Vision , Generative Adversarial Networks, NLP and Deployment using Amazon Web Serives (AWS) , which were part of the Deep Learning Nanodegree on Udacity. As you will notice, the project starts with a template code and the code is build up sequentially in subsequent steps as we go on through the project.
To get started, download this repository as a zip file or fork it.
To get started, you need to install the following
* PyTorch
* Matplotlib
* Pandas
Furthermore, there are links for downloading data that are embedded inside the notebook for ease of use
To install PyTorch, go to [PyTorch] (https://pytorch.org/)
* Choose your Operating System and whether you want to have CUDA installed on your system
* For example, you could install the stable version of PyTorch on Windows using pip as
* pip3 install torch==1.3.0+cpu torchvision==0.4.1+cpu -f https://download.pytorch.org/whl/torch_stable.html
There are total 5 projects included in this repository. They are
- Predicting Bike Sharing Patterns
- Dog Breed Classifier
- Generating Artistic Faces with DCGAN
- TV Script Generation using LSTM
- Deploying a Sentiment analysis model with AWS
- Facial Key-points recognition system using CNNs in PyTorch
- PyTorch - The web framework used
The unsolved template code could be found at the Udacity's Github. (https://github.com/udacity/deep-learning-v2-pytorch)
- Muhammad Husnain Please feel free to email me @ Muhammadhusnain08@gmail.com if you have any questions
- Udacity and the whole Deep Learning Team