zhouliang1979 / kdd2018

Hands-on workshop

Deep Learning with Keras - Hands-on Workshop

What to expect:

This workshop is intended for an audience that is new to Keras.

Workshop Agenda:

Section 1:

• Introduction to Keras
• How to build and train a model using Keras APIs
• Using Callbacks

Section 2

• Building a CNN model using Keras Layers
• Data augmentation with ImageGenerator
• Feature extraction with pre-trained CNN model
• Introduction to Fine Tuning

Section 3

• Word Embeddings in Keras
• Using pre-trained word embeddings with the Embedding layer
• Introduction to RNN layers

Section 4

• Workflow for solving Text Classification problems
• Using a N-gram model
• Using a Sequence model

Installation instructions

Required packages:

• Install Anaconda and create an environment that you can use for this workshop.

• Install TensorFlow. There is a section specific to installing TensorFlow in a conda environment.

• Install Keras.

• Install Pillow.

• Install Pandas

• Confirm that TensorBoard is installed.

Required Datasets:

• Download the Cats Vs Dogs dataset from the Kaggle website. You will have to create an account if you don't have one already.

• Download the GloVe pre-trained embedding from the GloVe website.

• Download the IMDB dataset from this website

• Download the Rotten Tomatoes reviews from the Kaggle website

Verify Installation:

• git clone https://github.com/anj-s/kdd2018.git

• Activate your conda environment

• Start the Jupyter notebook by running "jupyter notebook"

• Verify that you can run Keras and TensorFlow by running the "Verify Installation" jupyter notebook.

NOTE: During the workshop you will need to modify the data directory paths in the notebooks since you will be pointing to a local directory.