Custom Models, Layers, and Loss Functions with TensorFlow

Week 1

Learn more about the Inception Model Architecture klik

Energy efficiency dataset klik

References about the Siamese network

Learning a Similarity Metric Discriminatively, with Application to Face Verification (Chopra, Hadsell, & LeCun, 2005)
Similarity Learning with (or without) Convolutional Neural Network (Chatterjee & Luo, n.d.)

Reference "The distance between two vectors" The Distance Between Two Vectors

Week 2

Huber Loss reference link

Reference: Dimensionality reduction by Learning an Invariant Mapping Dimensionality Reduction by Learning an Invariant Mapping

Week 4

Understanding Residual networks link Residual networks lectures (optional) Lecture on Residual Networks by Andrew Ng (part of Deep Learning Specialization, Course 4: Convolutional Neural Networks

Week 5

TensorBoard visualization toolkit link

Custom and Distributed Training with TensorFlow

Week 1

Week 2

Week 3

Week 4