This repository contains all the code used in the course.
- Module 1: DL Fundamentals: class/Fundamentals
- NN_Fundamentals: Introduction to TensorFlow, Sequential and Functional API.
- Prevent_Overfitting: Regularization Techniques.
- Module 2: Convolutional NN: class/CNN
- Introduction_to_CNN.ipynb: Introduction to CNN & Image Processing.
- Module 3: Recurrent NN: class/RNN
- Introduction_to_RNN_Time_Series.ipynb: Introduction to Recurrent Neural Networks Applied to Time series.
- Module 4: NLP with Deep Learning: class/NLP
- Module 5: Generative Models: class/generative
You can run the code locally with Jupyter notebook or with Google Colab
To install TensorFlow and TensorFlow-hub, run:
pip install tensorflow
pip install --upgrade tensorflow-hub
For more details see TensorFlow installation instructions
To install all the dependencies, run:
pip install -r requirements.txt
You can upload the notebook directly in Google Colab or you can click in the Colab icon at the beginning of each notebook:
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