Here is a good tutorial explaining how convolutions work: http://deeplearning.net/software/theano_versions/dev/tutorial/conv_arithmetic.html Here is an example of a convolution with half (one) padding and stride 2

# Posts published in “Learning material”

The field of Machine Learning is rapidly advancing. Here i try to provide you with the resources you need in order to climb the mountain of knowledge in AI and Deep Learning so that you will be able to contribute yourself to this field.

In two days i was able to listen through half of cs231n in my spare time by listening on the youtube videos with higher than normal speed. Nowadays i always…

This Hacker News thread discusses why and what kind of maths you will need if you pursue AI/Machine learning. Here is a short summary, and i tend to agree. These…

It is an awesome age we live in where the knowledge you need for tomorrow is available for free for everyone (with a computer, and an internet connection). There is…

You need to put in 20% of your learning time into math in order to get great at machine learning. Linear algebra and statistics are two very imprtant topics to…

Andre Ng announced that he has launched five new courses in Deep Learning on Coursera. The courses range from 2-4 weeks of study per course where you put in 3-6…

Here is a Quora thread on some of the resources you can use to get Deep Learning skills. https://www.quora.com/What-are-the-best-ways-to-pick-up-Deep-Learning-skills-as-an-engineer If you do not know what tasks to start to tackle…

This course is held one of the contributors to Keras and Tensoflow. Here you go: https://campus.datacamp.com/courses/deep-learning-in-python

I recently posted about Deep Learning Summer School 2016 Here is a link to another Bay Area Deep Learning School one that was the same year in September at Stanford…

Many people have recommended the Machine Learning course held by Andrew Ng at Stanford University that is available via Coursera. Some say it is the best course they have heard.…

Here you can watch lectures from the 2016 Deep Learning Summer School in Montreal. Course excerpt: Deep neural networks that learn to represent data in multiple layers of increasing abstraction have…

In Machine Learning and especially Deep Learning you will need Linear Algebra. If you have not used your linear algebra in some time, this chapter of the Deep Learning Book…