/workshop-categorizacion-productos

Practical content for Products Categorization with Deep Learning Workshop

Primary LanguageJupyter Notebook

Products Categorization Workshop

Practical content for Products Categorization with Deep Learning Workshop

Contents

  • intro_python_numpy_pandas.ipynb: a notebook with basic samples of python, numpy & pandas
  • train_nn_products_categorization.ipynb, a notebook with a sample NN training, incluiding dataset preparation, builiding, training & evaluation of a sample model.
  • Products Categorization with Deep Learning.pdf, slides for the workshop

Branches

  • master: train_nn_products_categorization.ipynb with solutions for first 1st & 2nd sections (Gather & Explore Data)
  • solution_b: train_nn_products_categorization.ipynb with aditional solutions for 3rd section (Prepare data for training)
  • solution_c: train_nn_products_categorization.ipynb with aditional solutions for 4th, 5th & 6th sections (Build, Train & Evaluate Model)

Environment

All notebooks can be run in Collaboratory platform and also standalone, as long as you have python 3.6 installed.