LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems 6o6g2x

In this episode of Learning Machines 101, we review Chapter 6 of my book “Statistical Machine...

In this episode of Learning Machines 101, we review Chapter 6 of my book “Statistical Machine Learning” which introduces methods for analyzing the behavior of machine inference algorithms and machine learning algorithms as dynamical systems. We show that when dynamical systems can be viewed as special types of optimization algorithms, the behavior of those systems even when they are highly nonlinear and high-dimensional can be analyzed. Learn more by visiting: www.learningmachines101.com and www.statisticalmachinelearning.com .

LM101-085:Ch7:How to Guarantee your Batch Learning Algorithm Converges +1 año 30:50 LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes +1 año 35:28 LM101-083: Ch5: How to Use Calculus to Design Learning Machines +1 año 34:21 LM1010-082: Ch4: How to Analyze and Design Linear Machines +1 año 29:04 LM101-081: Ch3: How to Define Machine Learning (or at Least Try) +1 año 37:19 Ver más en APP Comentarios del episodio 4q691y