Home > Trainings > Development > Programming > Deep Learning with TensorFlow 2.0
Module 1: Introduction to neural networks
Module 2: Setting up the working environment
Module 3: Minimal example – your first machine learning algorithm
Module 4: TensorFlow – An introduction
Module 5: Going deeper: Introduction to deep neural networks
Module 6: Backpropagation. A peek into the Mathematics of Optimization
Module 7: Overfitting
Module 8: Initialization
Module 9: Gradient descent and learning rates
Module 10: Preprocessing
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