Deep (learning) like Jacques Cousteau - Part 7 - Matrices
(TL;DR: matrices are rectangular arrays of numbers.)
(TL;DR: matrices are rectangular arrays of numbers.)
(TL;DR: Dijkstra’s algorithm is correct. Mathematical proof inside <3<3<3)
(TL;DR: Start with two vectors with equal numbers of elements. Multiply them element-wise. Sum the results. This is the dot product.)
(TL;DR: You can add vectors that have similar dimensions.)
(TL;DR: Multiply a vector by a scalar one element at a time.)
(TL;DR: Vectors are ordered lists of numbers.)
(TL;DR: Scalars are single numbers.)
(TL;DR: I’m going to go deep into deep learning. Sets are collections of things.)
(TL;DR: Come on. This is pretty short. Productivity level up by harnessing the power of RStudio!)
(TL;DR: Author algorithmically confirms what he already knows - that there is a way to get from Newtown Station to a tasty burger. Shortest path from Newtown...
(TL;DR: Author analyses R-Bloggers emails using Gmail API. Decides on when to post to get to the top of the email list. This could either work well or fail s...
(TL;DR: author continues to use his undiagnosed OCD for good. Breath-first search introduced on simple graph.) We learnt how to get OpenStreetMap data into ...
(TL;DR: author begins quest to use undiagnosed OCD to come up with different paths to walk to work…all in the name of weight loss) I love to walk. I’m in b...
(TD;DR: Received letter from real estate increasing my weekly rent. Reason for increase was not supported by evidence. Used R to look for evidence supporting...
The second post in an epic to learn to rank lists of things!
The first post in an epic to learn to rank lists of things!
Make your life easier by Dockerising your TensorFlow
Create a Deep Learning VM on GCP in 2 minutes
(TL;DR: matrices are rectangular arrays of numbers.)
(TL;DR: Start with two vectors with equal numbers of elements. Multiply them element-wise. Sum the results. This is the dot product.)
(TL;DR: You can add vectors that have similar dimensions.)
(TL;DR: Multiply a vector by a scalar one element at a time.)
(TL;DR: Vectors are ordered lists of numbers.)
(TL;DR: Scalars are single numbers.)
(TL;DR: I’m going to go deep into deep learning. Sets are collections of things.)
(TL;DR: matrices are rectangular arrays of numbers.)
(TL;DR: Start with two vectors with equal numbers of elements. Multiply them element-wise. Sum the results. This is the dot product.)
(TL;DR: You can add vectors that have similar dimensions.)
(TL;DR: Multiply a vector by a scalar one element at a time.)
(TL;DR: Vectors are ordered lists of numbers.)
(TL;DR: Scalars are single numbers.)
(TL;DR: I’m going to go deep into deep learning. Sets are collections of things.)
(TL;DR: matrices are rectangular arrays of numbers.)
(TL;DR: Start with two vectors with equal numbers of elements. Multiply them element-wise. Sum the results. This is the dot product.)
(TL;DR: You can add vectors that have similar dimensions.)
(TL;DR: Multiply a vector by a scalar one element at a time.)
(TL;DR: Vectors are ordered lists of numbers.)
(TL;DR: Dijkstra’s algorithm is correct. Mathematical proof inside <3<3<3)
(TL;DR: Author algorithmically confirms what he already knows - that there is a way to get from Newtown Station to a tasty burger. Shortest path from Newtown...
(TL;DR: author continues to use his undiagnosed OCD for good. Breath-first search introduced on simple graph.) We learnt how to get OpenStreetMap data into ...
(TL;DR: author begins quest to use undiagnosed OCD to come up with different paths to walk to work…all in the name of weight loss) I love to walk. I’m in b...
The second post in an epic to learn to rank lists of things!
The first post in an epic to learn to rank lists of things!
Make your life easier by Dockerising your TensorFlow
(TL;DR: Author analyses R-Bloggers emails using Gmail API. Decides on when to post to get to the top of the email list. This could either work well or fail s...
(TD;DR: Received letter from real estate increasing my weekly rent. Reason for increase was not supported by evidence. Used R to look for evidence supporting...
(TL;DR: Author algorithmically confirms what he already knows - that there is a way to get from Newtown Station to a tasty burger. Shortest path from Newtown...
(TL;DR: Author analyses R-Bloggers emails using Gmail API. Decides on when to post to get to the top of the email list. This could either work well or fail s...
(TL;DR: Dijkstra’s algorithm is correct. Mathematical proof inside <3<3<3)
(TL;DR: Author algorithmically confirms what he already knows - that there is a way to get from Newtown Station to a tasty burger. Shortest path from Newtown...
Let’s learn how to answer the famous probability interview question involving pairs of socks.
Let’s cover the basics of images as data structures, meet some psychedelic cats and ‘paint’ a hot pink chessboard using NumPy!
Make your life easier by Dockerising your TensorFlow
Create a Deep Learning VM on GCP in 2 minutes
The second post in an epic to learn to rank lists of things!
The first post in an epic to learn to rank lists of things!
The second post in an epic to learn to rank lists of things!
The first post in an epic to learn to rank lists of things!
(TL;DR: Author analyses R-Bloggers emails using Gmail API. Decides on when to post to get to the top of the email list. This could either work well or fail s...
(TL;DR: Come on. This is pretty short. Productivity level up by harnessing the power of RStudio!)
Before we begin:
Let’s cover the basics of images as data structures, meet some psychedelic cats and ‘paint’ a hot pink chessboard using NumPy!
Let’s learn how to answer the famous probability interview question involving pairs of socks.
Make your life easier by Dockerising your TensorFlow
A recipe to go from spreadsheet to code
A recipe to go from spreadsheet to code
A recipe to go from spreadsheet to code