SDS-3.x: Scalable Data Science and Distributed Machine Learning

000_6-sds-3-x-dl: Introduction to Deep Learning

Topics: Introduction to Deep Learning with Keras, tensorflow, pytorch and PySpark. Topics: TensorFlow Basics, Artificial Neural Networks, Multilayer Deep Feed-Forward Neural Networks, Training, Convolutional Neural Networks, Recurrent Neural Networks like LSTM and GRU, Generative Networks or Patterns, Introduction to Reinforcement Learning, Real-world Operations and MLOps with PyTorch and MLflow for image classification.

1. Neural networks and Deep Learning

2. Keras and Tensorflow

3. CNNs

4. RNNs

5. GNNs and RL

6. DL Ops