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:
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Install Anaconda and create an environment that you can use for this workshop.
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Install TensorFlow. There is a section specific to installing TensorFlow in a conda environment.
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Install Keras.
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Install Pillow.
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Install Pandas
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Confirm that TensorBoard is installed.
Required Datasets:
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Download the Cats Vs Dogs dataset from the Kaggle website. You will have to create an account if you don't have one already.
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Download the GloVe pre-trained embedding from the GloVe website.
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Download the IMDB dataset from this website
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Download the Rotten Tomatoes reviews from the Kaggle website
Verify Installation:
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git clone https://github.com/anj-s/kdd2018.git
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Activate your conda environment
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Start the Jupyter notebook by running "jupyter notebook"
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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.