pdfcoffee

about 354, 355
reference link 355
SRGAN 209, 210
stacked autoencoder
about 360
Keras autoencoder example 365-373
stateful RNNs 290
state-of-the-art results, CIFAR-10
reference link 130
state-of-the-art results, MNIST
reference link 122
State-Value function 410
static embeddings
about 234
GloVe 238
Word2Vec 235
Stochastic Gradient Descent (SGD) 19, 238
style transfer
about 165, 166
content distance 166, 167
style distance 167
subword embeddings 259, 260
sum of squared error (SSE) 383
SVM-based classifier
reference link 143
T
Teacher Forcing 324
TensorFlow
about 568
MNIST handwritten digits, used for building
GAN 193-198
reference link 108
TensorFlow 1.x
about 51
computational graph, program structure 51
constants 54
converting, to TensorFlow 2.x 80
operations, examples 55
placeholders 55
TensorFlow 1.x, example 59, 60
TensorFlow 2.0
changes 3, 4, 5
code example 7, 8
CycleGAN 218-228
k-means clustering 381-384
libraries, reference link 15
neural network, defining 15-19
optimizers, testing 26-32
simple Net, improving with Dropout 24-26
simple Net, improving with hidden
layers 21-23
TensorFlow 2.0 net
baseline, establishing 20
running 20
TensorFlow 2.1
using 587, 588
TensorFlow 2.x
about 60
Autograph 61, 62
callback 67
ConvNets 112
custom training 74, 75
distributed training 76
eager execution 60
ecosystem 81
Estimators 72-74
gradients, computing 74, 75
Keras APIs 63
libraries and extensions, reference link 82
model, saving 68, 69
namespaces, changes 79
native code, best practices 80, 81
ragged tensors 74
TensorFlow 1.x, converting to 80
tf.Keras 72-74
training, from tf.data.datasets 69-72
using 80
weights, saving 68, 69
TensorFlow 2.x ecosystem
Accelerated Linear Algebra (XLA) 82
Colab 82
language bindings 82
MLPerf 82
Sonnet 81
TensorBoard 81
TensorBoard Federated 81
TensorBoard Playground 82
TensorBoard Probability 82
TensorFlow Datasets 82
TensorFlow Extended (TFX) 81
TensorFlow Hub 81
TensorFlow.js 81
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