Intro

Question 1

What is normal programming vs machine learning?

Answer 1

Normal programming is putting rules to get input to output

Machine learning is giving the input and output and generating the rules

Question 2

What are convolutional networks best for?

Answer 2

Computer vision and identifying images.

Question 3

What is an autoencoder?

Answer 3

network architecture used for image compression and denoising

Question 4

What is transfer learning?

Answer 4

Used to classify things a set has never seen before?

Question 5

What are recurrent neural networks best for?

Answer 5

Data that forms sequences like text, music, and time series data.

Question 6

Generative adversarial networks are best for

Answer 6

Image generation

Question 7

RNN SF

Answer 7

Recurrent Neural Network

Question 8

GAN SF

Answer 8

Generative Neural Networks

Question 9

What is Sci-Kit learn

Answer 9

Machine Learning library for Python

Question 10

Percetrons are

Answer 10

The simplest forms of a neural network

Question 11

Gradient descent is

Answer 11

A process by which Machine Learning algorithms learn to improve themselves based on the accuracy of their predictions.

Question 12

Backpropagation is

Answer 12

The process by which neural networks learn how to improve individual parameters

Question 13

Numpy is

Answer 13

An extremely popular library for scientific computing in python

Question 14

Tensorflow is

Answer 14

One of the most popular python libraries for creating neural networks. It is maintained by Google.

Question 15

Command to create a new conda environment

Answer 15

conda create -n name_of_env python=3

Question 16

To enter a conda environment

Answer 16

source activate name_of environment

Question 17

To see a list of my conda environments

Answer 17

conda info –envs

Question 18

To see a list of the packages installed in a conda

Answer 18

conda list

Question 19

To add a version to conda use (numpy as an example)

Answer 19

conda install numpy=1.10

Question 20

To update all conda packages

Answer 20

conda update –all

Question 21

Which of these commands would you use to install the packages numpy and pandas with conda?

Answer 21

conda install pandas
or
conda install numpy pandas
Pandas includes numpy

Question 22

To export conda packages

Answer 22

conda env export > environment.yaml

Question 23

How did Jupyter Notebooks start?

Answer 23

grew out of the IPython project started by Fernando Perez

Question 24

What are magic keywords?

Answer 24

special commands you can run in cells that let you control the notebook itself or perform system calls such as changing directories

Question 25

JN % is

Answer 25

Line magics

Question 26

JN %% is for

Answer 26

cell magics

Question 27

To test for how fast something completes in JN run

Answer 27

%timeit function_name()

Question 28

To test for how long your cell takes to run in RN

Answer 28

%%timeit on the top of the cell

Question 29

To render figures directly in the JN notebook, you should use the inline backend with the command

Answer 29

%matplotlib inline

Question 30

To render higher quality images in JN

Answer 30

%config InlineBackend.figure_format = ‘retina’

Question 31

To turn on the interactive Python debugger in JN use

Answer 31

%pdb

Question 32

To convert a JN to html

Answer 32

jupyter nbconvert –to html notebook.ipynb

Question 33

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Answer 33

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