https://cs231n.github.io/convolutional-networks/
Great Overview Over Convolutional Neural Network

https://github.com/lankastersky/neuromantic
Classified essays for diffrent field of Deep Learning

Tutorial For Generative Adversarial Network

These are very unique times for brain research. The aperitif for the course will thus highlight the present “brain-excitements” worldwide. You will then become intimately acquainted with the operational principles of neuronal “life-ware” (synapses, neurons and the networks that they form) and consequently, on how neurons behave as computational microchips and how they plastically and constantly change - a process that underlies learning and memory. Recent heroic attempts to realistically simulate large cortical networks in the computer will be highlighted (e.g., “the Blue Brain Project”) and processes related to perception, cognition and emotions in the brain will be discussed. For dessert we will deliberate on the future of brain research, including the questions of “brain and art”, consciousness and free will. For more information you can click on the link below :
https://www.coursera.org/learn/synapses

How deep learning works --The geometry of deep learning
https://arxiv.org/abs/1710.10784

سلام
من در آینده تصمیم بر این دارم که دورهمی در رشت در رابطه با هوش مصنوعی برگذار کنم، کسانی که تمایل دارن که در جریان قرار بگیرن می تونن در گروه فیس بوک زیر عضو بشن :
https://www.facebook.com/groups/RashtSchoolOfAi/

If you are interested in AI, you can join our ai community here:
https://t.iss.one/joinchat/GtdKmRJ2jXuzymyXm2RuQA

https://setosa.io/ev/markov-chains/
Introduction to Markov Chains

A Great Book About How Could You Find The Meaning In Your Life

A Great Course By Stanford University About Nlp :
https://www.youtube.com/watch?v=OQQ-W_63UgQ&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6

Check this out :
https://github.com/llSourcell/quantum_machine_learning

Time Series for Beginners Tutorial
https://www.kaggle.com/freespirit08/time-series-for-beginners-with-arima/notebook?utm_medium=email&utm_source=mailchimp&utm_campaign=datanotes-20180823

Linear Algebra Review

Probability Review