SDS-3.x 000_6-sds-3-x-dl Introduction to Deep Learning

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.

• 000_6-sds-3-x-dl as book

1. Neural networks and Deep Learning

• Intro to Deep Learning
• Outline for DL
• Neural Networks

2. Keras and Tensorflow

• Deep feed Forward NNs with Keras
• Hello Tensorflow
• Batch Tensorflow with Matrices

3. CNNs

• Convolutional Neural Nets
• MNIST: Multi-Layer-Perceptron
• MNIST: Convolutional Neural net
• CIFAR-10: CNNs

4. RNNs

• Recurrent Neural Nets and LSTMs
• LSTM solution
• LSTM spoke Zarathustra

5. GNNs and RL

• Generative Networks
• Reinforcement Learning

6. DL Ops

• DL Operations
• ML Ops with Pytorch and MLflow