Index
A
Abstractive text summarization
AlexNet
Algorithms
Apple developer website
Core ML framework
ML and Xcode creation
natural language
SeeNatural Language framework
speech recognition
Turi creation
vision
SeeVision framework
VisionKit
B
Bidirectional Encoder Representations from Transformers (BERT)
architectures
classification layer
core ML model
inputs/outputs
metadata section
Netron
tokenization
Xcode
masked LM
next sentence prediction
operating system (iOS)
BERTInput Class
bestLogitsIndices function
model instance
prediction
project files
tokenization
WordID array
word list
principal innovation
question answering model
SQuAD
SwiftUI application
training strategies
user interface (UI)
attributedText
question-answering App
search button
state variables
SwiftUI app
TextView creation
UI elements
C
Core ML framework
D
Deep learning (DL)
DistilGPT-2 model
Documentation model
BERT
SeeBidirectional Encoder Representations from Transformers (BERT)
E, F
Error function
Extractive summarization
G, H
Gated Recurrent Unit (GRU)
Generative Pretrained Transformer (GPT)
built-in OCR model
coremltools
DistilGPT-2 model
text prediction
transformation
I
ImageNet dataset
Iteration/epoch data
J
Jupyter notebook
Core ML model
input size error
model specification
output
prediction
print model specs
virtual environment
K, L
Keras models
classification model
Colab cell
compilation method
core ML format
creation
distribution graph
IMDB dataset
libraries
model’s summarization
pad sequences
sequential class
training results
word count distribution
word representations
Colab
deep learning libraries
testing-core ML model
Xcode model
M
Machine learning (ML)
AI models
categories
cutting-edge tools
DL
SeeDeep learning (DL)
history
positive/negative emails
prediction
smart apps
supervised learning
training model
unsupervised learning
macOS playground
accuracy
auto-generated class code
check training metrics
classifier model
core ML model
CreateML/foundation
error handling
evaluation
MLModel project
MLTextClassifier
model details
parsing options
playground settings
prediction
SpamClassifier class
spam SMS classifier app
splits data
SwiftUI
templates
text classification
training output
URL object
N, O, P, Q
Natural language processing (NLP)
advantages
framework models
enumerating words
language identification
NLEmbedding
part-of-speech tagging
people, places/organizations
tokenization
word tagging
language modeling
mathematical calculations
neural network–based methods
N-grams
objective
pretrained language models
sequence-to-sequence (Seq2Seq)
word embedding
Next Sentence Prediction (NSP)
NLEmbedding
NLTagger
R
Recurrent neural network (RNN)
S
Spam classification
create ML
create ML app
CSV/text file creation
project templates
static and dynamic embedding
text files
training data panel
training status/accuracy
entities
SMS collection dataset
text classification
Turi creation
bag-of-words representation
iPython
meaning
setup
text classifier
virtual environment
Speech framework
Speech recognition/framework
audio transcription
ContentView struct
descriptions
permission request
processing app
speak button
text-to-speech function
transcription permission
Stanford Question Answering Dataset (SQuAD)
Summarization techniques
abstractive
button action
ContentView file
extractive
function
natural language framework
project creation
SentenceAndRank
splitting function
stop words declaration
SwiftUI preview testing
text editor
word frequencies
Supervised learning
T
Testing-core ML model
Colab environment
integer representations
Jupyter notebook
prediction
word embedding
Xcode
Text classification
macOS playground
sentiment analysis
spam
SeeSpam classification
Text generation models
AI models
Anne Karenina
decoding strategies
generation function
GPT files
handling tap gesture
metadata
prediction function
generative pertained transformer
OCR functions
captureOutput function
recognizeTextHandler function
scanning resources
showString method
starter project
text recognition request
viewDidLoad function
views and GPT folders
VisionViewController functions
Text-to-speech function
U
Unsupervised learning
V, W
Vision framework
face/body detection
horizon detection
image analysis capabilities
classification
comparison
ImageRequestHandler
knownClassifications method
mathematical representation
meaning
ML capabilities
object recognition
saliency analysis
text detection and recognition
VisionKit
X, Y, Z
Xcode model
ContentView file
debugger output
drag and drop model
imdbGRU model
MLMultiArray
model testing function
prediction function
preview mode
splitting words
testing
word list loading
working process
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