Index

A

• activation / Activation and nonlinearity

C

• categories
  • turning, into tensors / Turning categories into tensors
• classical neural network
  • versus dense neural network / Comparison between classical dense neural networks
• convolutional neural network
  • building / Building a convolutional neural network
• convolutions / Convolutions

D

• data
  • sharing / Sharing data
  • training / Training and testing data
  • testing / Training and testing data
• deep neural network / Deep neural network
• dense neural network
  • versus classical neural network / Comparison between classical dense neural networks
• Docker
  • installing / Installing Docker
  • URL, for installation / Installing Docker
• Docker container
  • trained models / Trained models in Docker containers
  • used, for executing REST server / Making predictions
• dropout / Dropout and Flatten

F

• flatten / Dropout and Flatten

G

• gradient / Grid searches
• grid searches / Grid searches

H

• hyperparameters / Hyperparameters

I

• images
  • turning, into tensors / Turning images into tensors
• Intel Math Kernal Libraries / The machine learning Docker file

M

• machine learning Docker file / The machine learning Docker file
• machine learning REST service / Machine learning REST service
• MNIST digits / MNIST digits

N

• nonlinearity / Activation and nonlinearity

O

• overfitting / Training and testing data

P

• pooling / Pooling

R

• REST API
  • defining / REST API definition

S

• softmax / Softmax
• solvers / Solvers

T

• tensors
  • about / Tensors – multidimensional arrays
  • images, turning into / Turning images into tensors
  • categories, turning into / Turning categories into tensors