Deep Learning with TensorFlow Glossary

A

• activation function in Deep Learning with TensorFlow
• Adagrad in Deep Learning with TensorFlow
• Adam optimization algorithm in Deep Learning with TensorFlow
• Attention mechanism in Deep Learning with TensorFlow
• autoencoder in Deep Learning with TensorFlow

B

• backpropagation in Deep Learning with TensorFlow
• batch normalization in Deep Learning with TensorFlow
• batch size in Deep Learning with TensorFlow
• Binary classification in Deep Learning with TensorFlow
• Boltzmann machine in Deep Learning with TensorFlow
• Broadcasting operation in Deep Learning with TensorFlow

C

• Capsule network in Deep Learning with TensorFlow
• Character-level language model in Deep Learning with TensorFlow
• Convolutional autoencoder in Deep Learning with TensorFlow
• Convolutional LSTM in Deep Learning with TensorFlow
• convolutional neural network in Deep Learning with TensorFlow
• cross-entropy loss in Deep Learning with TensorFlow
• Cross-validation in Deep Learning with TensorFlow

D

• data augmentation in Deep Learning with TensorFlow
• data preprocessing in Deep Learning with TensorFlow
• Deep belief network in Deep Learning with TensorFlow
• Deep reinforcement learning in Deep Learning with TensorFlow
• Denoising autoencoder in Deep Learning with TensorFlow
• Device in Deep Learning with TensorFlow
• dropout in Deep Learning with TensorFlow
• dropout layer in Deep Learning with TensorFlow
• Dropout regularization in Deep Learning with TensorFlow

E

• early stopping in Deep Learning with TensorFlow
• embedding layer in Deep Learning with TensorFlow
• Embedding matrix in Deep Learning with TensorFlow
• Ensemble learning in Deep Learning with TensorFlow
• epoch in Deep Learning with TensorFlow
• Error backpropagation in Deep Learning with TensorFlow
• eval in Deep Learning with TensorFlow
• Exploding gradient problem in Deep Learning with TensorFlow

F

• Feed in Deep Learning with TensorFlow
• feedforward neural network in Deep Learning with TensorFlow
• Fetch in Deep Learning with TensorFlow
• fine-tuning in Deep Learning with TensorFlow
• fully connected layer in Deep Learning with TensorFlow

G

• GAN in Deep Learning with TensorFlow
• Generative adversarial network in Deep Learning with TensorFlow
• Global max pooling in Deep Learning with TensorFlow
• gradient descent in Deep Learning with TensorFlow
• Graph in Deep Learning with TensorFlow

H

• hyperparameter tuning in Deep Learning with TensorFlow

I

• Inception network in Deep Learning with TensorFlow
• IndexedSlices in Deep Learning with TensorFlow

K

• K-fold cross-validation in Deep Learning with TensorFlow
• kernel in Deep Learning with TensorFlow

L

• Label smoothing in Deep Learning with TensorFlow
• Leaky relu in Deep Learning with TensorFlow
• Learning rate decay in Deep Learning with TensorFlow
• learning rate in Deep Learning with TensorFlow
• Long short-term memory in Deep Learning with TensorFlow
• loss function in Deep Learning with TensorFlow

M

• Max pooling in Deep Learning with TensorFlow
• Mean squared error in Deep Learning with TensorFlow
• mini-batch in Deep Learning with TensorFlow
• Model checkpointing in Deep Learning with TensorFlow
• Multiclass classification in Deep Learning with TensorFlow
• Multilayer perceptron in Deep Learning with TensorFlow

N

• neural network in Deep Learning with TensorFlow
• Node in Deep Learning with TensorFlow
• Normalization layer in Deep Learning with TensorFlow

O

• Object detection in Deep Learning with TensorFlow
• one-hot encoding in Deep Learning with TensorFlow
• optimizer in Deep Learning with TensorFlow
• overfitting in Deep Learning with TensorFlow

P

• Padding in Deep Learning with TensorFlow
• pooling layer in Deep Learning with TensorFlow
• pre-trained model in Deep Learning with TensorFlow
• Precision and recall in Deep Learning with TensorFlow
• Principal component analysis in Deep Learning with TensorFlow
• Probability density function in Deep Learning with TensorFlow

R

• Recurrent neural network (RNN) in Deep Learning with TensorFlow
• regularization in Deep Learning with TensorFlow
• ReLU activation function in Deep Learning with TensorFlow
• relu in Deep Learning with TensorFlow
• residual network in Deep Learning with TensorFlow
• ResNet (Residual network) in Deep Learning with TensorFlow
• RMSProp in Deep Learning with TensorFlow
• rnn in Deep Learning with TensorFlow
• Run in Deep Learning with TensorFlow

S

• Self-attention mechanism in Deep Learning with TensorFlow
• Sequence-to-sequence model in Deep Learning with TensorFlow
• Session in Deep Learning with TensorFlow
• Shape in Deep Learning with TensorFlow
• sigmoid in Deep Learning with TensorFlow
• Softmax activation function in Deep Learning with TensorFlow
• softmax in Deep Learning with TensorFlow
• SparseTensor in Deep Learning with TensorFlow
• Stochastic gradient descent (SGD) in Deep Learning with TensorFlow

T

• tensor in Deep Learning with TensorFlow
• tensorflow in Deep Learning with TensorFlow
• TensorFlow Lite in Deep Learning with TensorFlow
• TensorFlow.js in Deep Learning with TensorFlow
• test set in Deep Learning with TensorFlow
• training set in Deep Learning with TensorFlow
• transfer learning in Deep Learning with TensorFlow
• Triplet loss in Deep Learning with TensorFlow

U

• Unsupervised learning in Deep Learning with TensorFlow

V

• VAE in Deep Learning with TensorFlow
• validation set in Deep Learning with TensorFlow
• vanishing gradient problem in Deep Learning with TensorFlow
• Variational autoencoder (VAE) in Deep Learning with TensorFlow

W

• Weight decay in Deep Learning with TensorFlow
• weight initialization in Deep Learning with TensorFlow
• word embedding in Deep Learning with TensorFlow

X

• xavier initialization in Deep Learning with TensorFlow

Y

• yolo in Deep Learning with TensorFlow

Z

• zero-padding in Deep Learning with TensorFlow