Difference between revisions of "Watch me Build a Retail Startup"
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** [[Watch me Build a Healthcare Startup]] | Siraj Raval | ** [[Watch me Build a Healthcare Startup]] | Siraj Raval | ||
** [[Watch me Build a Finance Startup]] | Siraj Raval | ** [[Watch me Build a Finance Startup]] | Siraj Raval | ||
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** [[Watch me Build a Trading Bot]] | Siraj Raval | ** [[Watch me Build a Trading Bot]] | Siraj Raval | ||
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** [http://spotipy.readthedocs.io/en/latest/ Spotipy!] a lightweight Python library for the Spotify Web API. With Spotipy you get full access to all of the music data provided by the Spotify platform. | ** [http://spotipy.readthedocs.io/en/latest/ Spotipy!] a lightweight Python library for the Spotify Web API. With Spotipy you get full access to all of the music data provided by the Spotify platform. | ||
** [http://pypi.org/project/spotify/ Spotify.py] a primarily, asyncronous library (everything down to the HTTP client is asyncio friendly). | ** [http://pypi.org/project/spotify/ Spotify.py] a primarily, asyncronous library (everything down to the HTTP client is asyncio friendly). | ||
| − | * [[TensorFlow]] 2.0 (with Keras) | + | * [[TensorFlow]] 2.0 (with [[Keras]]) |
* [[Python#OpenCV| OpenCV]] Open Computer Vision - work with images and/or videos and wish to add a variety of classical and state-of-the-art vision algorithms to their toolbox. | * [[Python#OpenCV| OpenCV]] Open Computer Vision - work with images and/or videos and wish to add a variety of classical and state-of-the-art vision algorithms to their toolbox. | ||
* [[Python#Flask |Flask]] microframework for Python | * [[Python#Flask |Flask]] microframework for Python | ||
Revision as of 20:35, 30 July 2019
YouTube search... ...Google search
- How do I leverage AI?
- Watch me Build a Marketing Startup | Siraj Raval
- Watch me Build a Healthcare Startup | Siraj Raval
- Watch me Build a Finance Startup | Siraj Raval
- Watch me Build a Trading Bot | Siraj Raval
SmartSneaks
I've built a demo app called SmartSneaks that lets a user convert a song or image into a generated shoe design! This is an example of how AI can be used to transform retail by giving users a more personalized experience. The tools I used to build this are the Flutter framework for mobile development and the Flask framework for web development. There are 3 learning objectives in this video including how to build a deep learning API for your mobile app, how to generate images with a generative adversarial network, and how to calculate image similarity with OpenCV. Build a Retail Startup | Siraj Raval - GitHub
- Flutter is Google’s portable UI toolkit for building natively-compiled applications for mobile, web, and desktop from a single codebase.
- Dart is a client-optimized language for fast apps on any platform
- Firebase | Google's service & mobile development platform
- Payments
- Spotify
- Spotipy! a lightweight Python library for the Spotify Web API. With Spotipy you get full access to all of the music data provided by the Spotify platform.
- Spotify.py a primarily, asyncronous library (everything down to the HTTP client is asyncio friendly).
- TensorFlow 2.0 (with Keras)
- OpenCV Open Computer Vision - work with images and/or videos and wish to add a variety of classical and state-of-the-art vision algorithms to their toolbox.
- Flask microframework for Python
Check out this post on how to create your own Generative Adversarial Network (GAN) API with TensorFlow and Flask. Deploy it to Heroku and call it from Flutter.
- Project Jupyter Notebook | Siraj Raval
- Natural Language Processing (NLP)
- DocProduct
- AI Model(BioBERT , input question into retrained bioBERT to convert into an embedding. Input the embedding into a fully connected neural network, output an embedding for similarity lookup. Most similar Q&A's used by GPT-2 to generate an answer. )
- BioBERT | DMIS-Lab - GitHub a language representation model for biomedical domain, especially designed for biomedical text mining tasks such as biomedical named entity recognition, relation extraction, question answering, etc.
- TensorFlow
- Keras
- PoseNet is a vision model that can be used to estimate the pose of a person in an image or video
- Using Transfer-Learning to Detect Yoga Poses | Nhoral - Medium
- YogAI is a responsive virtual yoga instructor using pose estimation to guide and correct a yogi
- tf-pose-estimation 'Openpose', human pose estimation algorithm, have been implemented using Tensorflow
- tf.image.non_max_suppression (NMS) algorithm
- Bipartite Graph | WolframMathWorld
- Line integral | Wikipedia
- MobileNetV2: Inverted Residuals and Linear Bottlenecks | M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L. Chen
- Android Studio for building apps on Android devices
- Visual Studio Code
- Project Jupyter Notebook | Siraj Raval
- BrandMark create a unique, professional logo using NLP and generative network
- MailChimp landing page creator
- The Lean Startup | Eric Ries
- Stripe for subscription billing
- Flask-DebugToolBar for adding a performance toolbar in development
- TensorFlow
- Keras
- ImageNet: VGGNet, ResNet, Inception, and Xception with Keras
- itsdangerous for generating random tokens for the confirmation emails.
- structlog for logging.
- gunicorn for acting as a reverse-proxy for Nginx.
- Semantic UI for the global style. Very similar to Bootstrap
- Leaflet JS for the map, added for the sake of the example.
