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1. #DOWNLOAD SUPPLEMENTS FOR BOOK HOW TO CHEAT IN 3DS MAX 2011 SOFTWARE#
2. #DOWNLOAD SUPPLEMENTS FOR BOOK HOW TO CHEAT IN 3DS MAX 2011 SERIES#
3. #DOWNLOAD SUPPLEMENTS FOR BOOK HOW TO CHEAT IN 3DS MAX 2011 FREE#

We highly recommend the usage of the 3.x branch (cmp. Python is a widely used high-level programming language for general-purpose programming both Theano and Keras are Python moduls.

#DOWNLOAD SUPPLEMENTS FOR BOOK HOW TO CHEAT IN 3DS MAX 2011 SOFTWARE#

The following list of software packages helps to keep the programming effort low (it is possible to implement advanced structures like a deep convolutional neural network in only a dozen lines of code, which is quite amazing): Software: Modern standard computers are powerful enough to run neural networks in a reasonable time.

#DOWNLOAD SUPPLEMENTS FOR BOOK HOW TO CHEAT IN 3DS MAX 2011 FREE#

We will sometimes present examples using the 'python' programming language, which is a modern interpreted language with powerful linear algebra and plotting functions.īook: The first parts of the course will rely heavily on the excellent and free online book by Nielsen: "Neural Networks and Deep Learning" However, knowledge of any computer programming language will make it much more fun. the course will be understandable to bachelor students, master students and graduate students. Prerequisites: As a prerequisite you will only need matrix multiplication and the chain rule, i.e.

Time permitting, we will address other topics, like the relation to spin glass models, curriculum learning, reinforcement learning, adversarial learning, active learning, "robot scientists", deducing nonlinear dynamics, and dynamical neural computers. They are now also being considered more and more for applications in physics, ranging from predictions of material properties to analyzing phase transitions.Ĭontents: We will cover the basics of neural networks (backpropagation), convolutional networks, autoencoders, restricted Boltzmann machines, and recurrent neural networks, as well as the recently emerging applications in physics. Often, their performance now surpasses humans, as proven by the recent achievements in handwriting recognition and in winning the game of 'Go' against expert human players. While neural networks have been introduced already in the 50s, they really have taken off in the past decade, with spectacular successes in many areas. Neural networks can be trained to perform many challenging tasks, including image recognition and natural language processing, just by showing them many examples.

#DOWNLOAD SUPPLEMENTS FOR BOOK HOW TO CHEAT IN 3DS MAX 2011 SERIES#

Please visit the official domain, where we collected all the videos and slides from the 2017 Machine Learning for Physics Lecture Series for quick download!īasic Information about this lecture series