GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → whatrocks → fastai-fall2018

whatrocks / fastai-fall2018

Licence: other
🏃Notebooks from the USCF Deep Learning course (fast.ai v3)

Programming Languages

Jupyter Notebook
11667 projects

Labels

machine-learningdeep-learningpytorchfloyd-clifloydhubfastai

Projects that are alternatives of or similar to fastai-fall2018

cozmo-tensorflow
🤖 Cozmo the Robot recognizes objects with TensorFlow
Stars: ✭ 61 (+408.33%)
Mutual labels:  floyd-cli, floydhub
quick-start
FloydHub quick start project - train TensorFlow model with MNIST dataset
Stars: ✭ 23 (+91.67%)
Mutual labels:  floyd-cli, floydhub
UPIT
A fastai/PyTorch package for unpaired image-to-image translation.
Stars: ✭ 94 (+683.33%)
Mutual labels:  fastai
named-entity-recognition-template
Build a deep learning model for predicting the named entities from text.
Stars: ✭ 51 (+325%)
Mutual labels:  floydhub
rnn darts fastai
Implement Differentiable Architecture Search (DARTS) for RNN with fastai
Stars: ✭ 21 (+75%)
Mutual labels:  fastai
fastai treasures
digging the endless treasures of fastai
Stars: ✭ 20 (+66.67%)
Mutual labels:  fastai
fastai-docker-deploy
Deploy fastai models with Docker
Stars: ✭ 19 (+58.33%)
Mutual labels:  fastai
labml
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Stars: ✭ 1,213 (+10008.33%)
Mutual labels:  fastai
mobile-deep-learning-classifier
Tutorial on building and deploying a Mobile Deep Learning Classifier for food
Stars: ✭ 64 (+433.33%)
Mutual labels:  fastai
Music-Genre-Classification
Genre Classification using Convolutional Neural Networks
Stars: ✭ 27 (+125%)
Mutual labels:  fastai
google-retrieval-challenge-2019-fastai-starter
fast.ai starter kit for Google Landmark Retrieval 2019 challenge
Stars: ✭ 62 (+416.67%)
Mutual labels:  fastai
save-and-resume
Checkpoint tutorial on FloydHub for Pytorch, Keras and Tensorflow.
Stars: ✭ 36 (+200%)
Mutual labels:  floydhub
kuzushiji-recognition
Kuzushiji Recognition Kaggle 2019. Build a DL model to transcribe ancient Kuzushiji into contemporary Japanese characters. Opening the door to a thousand years of Japanese culture.
Stars: ✭ 16 (+33.33%)
Mutual labels:  fastai
fastai-visual-guide
Notebooks for Fastai Viusal Guide
Stars: ✭ 25 (+108.33%)
Mutual labels:  fastai
coronavirus-mask-image-dataset
Image dataset from Instagram of people wearing medical masks, no mask, or a non-medical (DIY) mask
Stars: ✭ 57 (+375%)
Mutual labels:  fastai
deep-learning
🦅 Deep Learning awesome cheatsheet
Stars: ✭ 24 (+100%)
Mutual labels:  fastai
Deep-Learning-Experiments-implemented-using-Google-Colab
Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets
Stars: ✭ 16 (+33.33%)
Mutual labels:  fastai
colornet-template
Colorizing B&W Photos with Neural Networks
Stars: ✭ 31 (+158.33%)
Mutual labels:  floydhub
docker-containers
Docker images for fastai
Stars: ✭ 143 (+1091.67%)
Mutual labels:  fastai
language-identification-template
Detect the languages from short pieces of text
Stars: ✭ 20 (+66.67%)
Mutual labels:  floydhub
View All Similar Projects ➔

fastai-fall2018

Notes from the USCF Deep Learning course (fast.ai v3)

Run on FloydHub

Resources

Blog posts ideas

  • Week One: Building a Facial Recognition App to Make it Through Your Significant Other's Thanksgiving Dinner
  • Week Two: Training a Linear Regression Model with Fast.ai and PyTorch
  • Week Three: Pizza Multi-Label Classifier
  • blog post about untarring and tarring data
  • Regular expressions guide
  • Flashcards for powers of 2
  • Flashcards for binary numbers
  • Create Anki deck for Fast.ai
  • Research / create easy way to create anki deck
  • research how to connect anki deck to github
  • learn scientific notation
  • salad bowl DL game

Week one

  • Bring water bottle to class!
  • Apply Google discount to GCP
  • Apply AWS discount to AWS
  • Set up Slack for Group 23
  • Set up FloydHub
  • Create a "Platform: FloydHub" page in fast.ai forum
  • Submit PR to the v3 courseware repo for FloydHub
  • Complete notebook tutorial
  • Complete lesson 1
  • Complete download images notebook
  • Read Class One resources
  • train your own dataset
  • create an app
  • Try out Gist.it
  • Review Python resources
  • Do numpy tutorial
  • Set up GCP
  • Set up AWS
  • Set up Paperspace
  • Set up Salamander
  • Set up SageMaker

Week two

  • Kaggle setup and integration for FloydHub
  • IDEA: children's artwork GAN
  • IDEA: YC company logo - will they fail or not based on their logo
  • set up Starlette/responder on serving jobs
  • spit things to tensorboard with fastai
  • np.argmax (look this up)
  • BLOG: Adam Geitgey (blogger) https://medium.com/@ageitgey
  • animated through the images like a slot machine, or pull from google images (frog project)
  • make gif from a jupyter notebook (visaliing the animation)

Week Three

  • Add FloydHub to Production section
  • JOSHFP blog post about SGD. this is insanely useful.

Week Four

  • finish blog post about cousins
  • pizza categorization
  • move week 3 notes (and these) to github
  • language model that understands code (write lex, tokenizer) (sloppy code, good code). downloda this from leetcode?. this could grade your code as you type. will it compile before you run it. will it do what you want?
  • html / ast (tree models)
  • something with computer chips like 8-bit guy
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].