Difference between revisions of "Watch me Build a Retail Startup"

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== SmartSneaks ==
 
== 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.  [http://github.com/llSourcell/Build-a-Retail-Startup Build a Retail Startup | Siraj Raval - GitHub]
 
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.  [http://github.com/llSourcell/Build-a-Retail-Startup Build a Retail Startup | Siraj Raval - GitHub]
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[http://github.com/llSourcell/Build-a-Retail-Startup/blob/master/Retail_Startup.ipynb Jupyter Notebook for project]
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* [http://flutter.dev/ Flutter] is Google’s portable UI toolkit for building natively-compiled applications for mobile, web, and desktop from a single codebase.
 
* [http://flutter.dev/ Flutter] is Google’s portable UI toolkit for building natively-compiled applications for mobile, web, and desktop from a single codebase.
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Check out [http://becominghuman.ai/creating-restful-api-to-tensorflow-models-c5c57b692c10 this post] on how to create your own [[Generative Adversarial Network (GAN)]] API with [[TensorFlow]] and [[Python#Flask |Flask]]. Deploy it to [http://www.heroku.com/ Heroku] and call it from [http://flutter.dev/ Flutter].
 
Check out [http://becominghuman.ai/creating-restful-api-to-tensorflow-models-c5c57b692c10 this post] on how to create your own [[Generative Adversarial Network (GAN)]] API with [[TensorFlow]] and [[Python#Flask |Flask]]. Deploy it to [http://www.heroku.com/ Heroku] and call it from [http://flutter.dev/ Flutter].
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* [http://github.com/llSourcell/How-to-Build-a-Biomedical-Startup/blob/master/Watch_Me_Build_a_Biomedical_Startup.ipynb Project Jupyter Notebook | Siraj Raval]
 
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* [[Natural Language Processing (NLP)]]
 
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* [http://github.com/re-search/DocProduct DocProduct]
 
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* 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. )
 
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** [http://github.com/dmis-lab/biobert 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.
 
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*** [[Bidirectional Encoder Representations from Transformers (BERT)]]
 
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* [[TensorFlow]]
 
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** [[TensorFlow Lite]]
 
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** [[Transfer Learning]]
 
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* [[Keras]]
 
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** [[Transfer Learning With Keras]]
 
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** [http://www.tensorflow.org/lite/models/pose_estimation/overview PoseNet] is a vision model that can be used to estimate the pose of a person in an image or video 
 
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* [http://medium.com/@nhoral/using-transfer-learning-to-detect-yoga-poses-74a8daee3ddb Using Transfer-Learning to Detect Yoga Poses | Nhoral - Medium]
 
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* [http://github.com/smellslikeml/YogAI YogAI] is a responsive virtual yoga instructor using pose estimation to guide and correct a yogi
 
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* [http://github.com/ildoonet/tf-pose-estimation tf-pose-estimation] 'Openpose', human pose estimation algorithm, have been implemented using Tensorflow
 
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* [http://www.tensorflow.org/api_docs/python/tf/image/non_max_suppression tf.image.non_max_suppression (NMS) algorithm]
 
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* [http://mathworld.wolfram.com/BipartiteGraph.html Bipartite Graph | WolframMathWorld]
 
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* [http://en.wikipedia.org/wiki/Line_integral Line integral | Wikipedia]
 
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* [http://arxiv.org/abs/1801.04381 MobileNetV2: Inverted Residuals and Linear Bottlenecks | M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L. Chen]
 
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* [http://developer.android.com/studio Android Studio] for building apps on Android devices
 
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* [http://code.visualstudio.com/ Visual Studio Code]
 
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* [http://github.com/llSourcell/AI_Startup_Prototype/blob/master/BuildanAIStartup.ipynb Project Jupyter Notebook | Siraj Raval]
 
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** [http://github.com/llSourcell/AI_Startup_Prototype/blob/master/Transfer_Learning.ipynb Transfer Learning Jupyter Notebook | Siraj Raval]
 
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* [http://brandmark.io/ BrandMark] create a unique, professional logo using NLP and generative network
 
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* [http://mailchimp.com/features/landing-pages/ MailChimp landing page creator]
 
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* [http://theleanstartup.com/ The Lean Startup | Eric Ries]
 
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* [http://stripe.com/ Stripe] for subscription billing
 
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** [http://gunicorn.org/ Flask-DebugToolBar] for adding a performance toolbar in development
 
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* [[TensorFlow]]
 
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* [[Keras]]
 
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** [[Transfer Learning With Keras]]
 
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* [http://www.pyimagesearch.com/2017/03/20/imagenet-vggnet-resnet-inception-xception-keras/ ImageNet: VGGNet, ResNet, Inception, and Xception with Keras]
 
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** [http://en.wikipedia.org/wiki/ImageNet ImageNet | Wikipedia]
 
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* [http://pythonhosted.org/itsdangerous/ itsdangerous] for generating random tokens for the confirmation emails.
 
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* [http://structlog.readthedocs.io/en/stable/ structlog] for logging.
 
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* [http://gunicorn.org/ gunicorn] for acting as a reverse-proxy for Nginx.
 
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* [http://semantic-ui.com/ Semantic UI] for the global style. Very similar to [http://getbootstrap.com/ Bootstrap]
 
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* [http://leafletjs.com/ Leaflet JS] for the map, added for the sake of the example.
 
  
 
<youtube>fF6f0nzlfUA</youtube>
 
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Revision as of 20:50, 30 July 2019

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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

Jupyter Notebook for project


  • 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
    • Stripe online payments
    • RazorPay accept, process and disburse digital payments for businesses in India
    • Paypal the PayPal REST SDK provides Python APIs to create, process and manage payment.
  • 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.

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