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k-means clusteringabout 380in TensorFlow 2.0 381-384variations 384working 380Kohonen networks 384Kullback-Leiber (KL) divergence 355Llanguage model based embeddingsabout 264-267BERT, fine-tuning 269BERT, used for classification 270BERT, using as feature extractor 267, 268BERT, using as part of network 271-275Large Movie Review Dataset v1.0reference link 472Latent Semantic Analysis (LSA) 232learning with a critic behavior 408left singular matrix 376LeNetabout 114deep learning 121, 122in TensorFlow 2.0 114-120libraries, TFXML Metadata (MLMD) 458TensorFlow 458TensorFlow Data Validation (TFDV) 458TensorFlow Metadata (TFMD) 458TensorFlow Model Analysis (TFMA) 458TensorFlow Transform (TFT) 458linear regressionabout 88multiple linear regression 93multivariate linear regression 93simple linear regression 89-92used, for making prediction 88used, for predicting house price 97-101logistic regressionusing 102using, on MNIST dataset 104-107long short-term memory (LSTM) 285-287loss functionsreference link 18Luong's attention 329MMachine Learning (ML) models 478Malmö 416many-to-many networkPOS tagging 307-312many-to-one networkfor sentiment analysis 300-307marketplace 450Markov property 411Mask R-CNN Image Segmentationreference link 146mathematical tools, calculusabout 544chain rule 547derivatives 544differentiation rules 547gradient descent 546gradients 544matrix operations 547, 548Matrix Multiply Unit (MMU) 574matrix operations 547, 548max-pooling operator 113Mean Opinion Score (MOS) 178metricsAccuracy 18Precision 18Recall 18reference link 18Microsoft Azureabout 440, 441reference link 440Microsoft Azure Notebookabout 455reference link 455Microsoft Research ParaphraseCorpus (MRPC) 270Mini-Batch Gradient Descent(MBGD) 563, 564MIT Licensereference link 513ML Metadata (MLMD) 458MNIST datasetPCA, implementing on 376-378MNIST digitsclassification example, reference link 478generating, with DCGAN 200-207[ 603 ]
used, for building GAN 193-198MNIST (Modified National Instituteof Standards and Technology)logistic regression, using on 103-107TensorFlow Estimator API, using with 95, 96mobile converter 463mobile GPUsreference link 473mobile neural architecture search(MNAS) 470mobile optimized interpreter 463modelsaving 68, 69model free reinforcement learning 411model generation 494model optimizationreference link 462multi-layered perceptron (MLP)about 8activation functions 13ELU 12, 13LeakyReLU 12, 13ReLU 11sigmoid function 10solution, to problems 9, 10tanh function 10training, issues 9, 10multiple linear regression 93multiplicativ attention 329multivariate linear regression 93MuseNetabout 182reference link 183MxNetreference link 1Nnatural language interfacereference link 524Natural Language Processing (NLP) 292Neural Architecture Search (NAS) 494neural embeddingsabout 252Item2Vec 253node2vec 253-258neural networksabout 5, 6, 13learnings 172, 173Neural Style Transfer, with tf.kerasreference link 168nightly build 587, 588node2vec 253-258Not a Number (NaN) 285N-series machines 451N-series offeringsNC series 451ND series 451NV series 451NSynthabout 182reference link 182Nsynth Colabreference link 182Oobject detectionreference link 471objective functionsbinary_crossentropy 17categorical_crossentropy 17MSE 17one-dimensional Convolutional NeuralNetwork (1D CNN) 248one hot-encoding (OHE)about 14issue 232limitations, overcoming 232one-to-many networkabout 291text tags, generating 292-299OpenAI Gymabout 416-418Breakout game, playing 418-420reference link 417operations, TensorFlow 1.xconstants, declaring 55examples 55random tensors, creating 56, 57sequences, generating 56variables, creating 57, 58optimizer learning ratecontrolling 33[ 604 ]
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k-means clustering
about 380
in TensorFlow 2.0 381-384
variations 384
working 380
Kohonen networks 384
Kullback-Leiber (KL) divergence 355
L
language model based embeddings
about 264-267
BERT, fine-tuning 269
BERT, used for classification 270
BERT, using as feature extractor 267, 268
BERT, using as part of network 271-275
Large Movie Review Dataset v1.0
reference link 472
Latent Semantic Analysis (LSA) 232
learning with a critic behavior 408
left singular matrix 376
LeNet
about 114
deep learning 121, 122
in TensorFlow 2.0 114-120
libraries, TFX
ML Metadata (MLMD) 458
TensorFlow 458
TensorFlow Data Validation (TFDV) 458
TensorFlow Metadata (TFMD) 458
TensorFlow Model Analysis (TFMA) 458
TensorFlow Transform (TFT) 458
linear regression
about 88
multiple linear regression 93
multivariate linear regression 93
simple linear regression 89-92
used, for making prediction 88
used, for predicting house price 97-101
logistic regression
using 102
using, on MNIST dataset 104-107
long short-term memory (LSTM) 285-287
loss functions
reference link 18
Luong's attention 329
M
Machine Learning (ML) models 478
Malmö 416
many-to-many network
POS tagging 307-312
many-to-one network
for sentiment analysis 300-307
marketplace 450
Markov property 411
Mask R-CNN Image Segmentation
reference link 146
mathematical tools, calculus
about 544
chain rule 547
derivatives 544
differentiation rules 547
gradient descent 546
gradients 544
matrix operations 547, 548
Matrix Multiply Unit (MMU) 574
matrix operations 547, 548
max-pooling operator 113
Mean Opinion Score (MOS) 178
metrics
Accuracy 18
Precision 18
Recall 18
reference link 18
Microsoft Azure
about 440, 441
reference link 440
Microsoft Azure Notebook
about 455
reference link 455
Microsoft Research Paraphrase
Corpus (MRPC) 270
Mini-Batch Gradient Descent
(MBGD) 563, 564
MIT License
reference link 513
ML Metadata (MLMD) 458
MNIST dataset
PCA, implementing on 376-378
MNIST digits
classification example, reference link 478
generating, with DCGAN 200-207
[ 603 ]
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