ICT 10 - 4TH PRELIM Flashcards
an open source framework that makes
machine learning and neural networking easier to use
Tensorflow
also known as “Tech With Tim”. It will help you to understand TensorFlow and some of its powerful capabilities
Tim Ruscica
are at the core of what we call artificial intelligence today. But historically they’ve been hard to understand
Neural networks
neural networks, these video courses by
Brandon Rohrer
A multi-dimensional matrix and fundamental part of the low-level API
Tensor
building a Graph of Ops (operations) that you will run later
Graph/ops
how you run the Graph and maintains the state
session
is a piece of the graph created by the Ops
node
A tensor whose values will typically be in a
continuous range, meaning a single real valued features suffices
•Dense Tensor
Actually a group of tensors that make it easier to
represent spread-out or categorical values
Sparse Tensor
Often given a set of input data, you will want
to combine or modify input features before you feed them into your network
Feature columns
A combination of two features, which is useful when the relationship between two features is important.
Feature crosses
This is useful for reading in input features, where the inputs are too big to read into memory, so instead a worker loads the inputs into a queue and another operation pulls it off the queue for processing
Queues
A statistical way of comparing two (or more) techniques —the “A” and the “B”—typically an incumbent against a new rival.
A/B Testing
aims to determine not only which technique performs better but also to understand whether the difference is statistically significant
A/B Testing
The primary algorithm for performing gradient descent on neural networks
Backpropagation
A method to train an ensemble where each constituent model trains on a random subset of training examples sampled with replacement.
Bagging
short for bootstrap aggregating.
bagging
A machine learning technique that iteratively combines a set of simple and not very accurate classifiers (referred to as “weak” classifiers) into a classifier with high accuracy (a “strong” classifier) by upweighting the examples that the model is currently misclassifying.
Boosting
t’s first version was released in
1991
It was written as the successor of programming language named
ABC
The name Python was picked by Guido van Rossum from a TV show named
Monty Python’s Flying Circus.
open source programming language which means that we can freely download it and use it to develop programs.
Python
