{"id":129572,"date":"2023-05-09T17:23:31","date_gmt":"2023-05-09T11:53:31","guid":{"rendered":"https:\/\/www.vskills.in\/certification\/tutorial\/?page_id=129572"},"modified":"2024-04-12T14:23:56","modified_gmt":"2024-04-12T08:53:56","slug":"deep-learning-with-tensorflow-glossary","status":"publish","type":"page","link":"https:\/\/www.vskills.in\/certification\/tutorial\/deep-learning-with-tensorflow-glossary\/","title":{"rendered":"Deep Learning with TensorFlow Glossary"},"content":{"rendered":"\n<p>Important definitions and terminologies used in Deep Learning with TensorFlow<\/p>\n\n\n<div id=\"glossary\">\n<div id=\"letter-links\" style=\"font-size: 30px;letter-spacing:20px;\"><a href=\"#A\">A<\/a><a href=\"#B\">B<\/a><a href=\"#C\">C<\/a><a href=\"#D\">D<\/a><a href=\"#E\">E<\/a><a href=\"#F\">F<\/a><a href=\"#G\">G<\/a><a href=\"#H\">H<\/a><a href=\"#I\">I<\/a><a href=\"#K\">K<\/a><a href=\"#L\">L<\/a><a href=\"#M\">M<\/a><a href=\"#N\">N<\/a><a href=\"#O\">O<\/a><a href=\"#P\">P<\/a><a href=\"#R\">R<\/a><a href=\"#S\">S<\/a><a href=\"#T\">T<\/a><a href=\"#U\">U<\/a><a href=\"#V\">V<\/a><a href=\"#W\">W<\/a><a href=\"#X\">X<\/a><a href=\"#Y\">Y<\/a><a href=\"#Z\">Z<\/a><\/div>\n<h2 id=\"A\">A<\/h2>\n<ul>\n<li>activation function in Deep Learning with TensorFlow<\/li>\n<li>Adagrad in Deep Learning with TensorFlow<\/li>\n<li>Adam optimization algorithm in Deep Learning with TensorFlow<\/li>\n<li>Attention mechanism in Deep Learning with TensorFlow<\/li>\n<li>autoencoder in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"B\">B<\/h2>\n<ul>\n<li>backpropagation in Deep Learning with TensorFlow<\/li>\n<li>batch normalization in Deep Learning with TensorFlow<\/li>\n<li>batch size in Deep Learning with TensorFlow<\/li>\n<li>Binary classification in Deep Learning with TensorFlow<\/li>\n<li>Boltzmann machine in Deep Learning with TensorFlow<\/li>\n<li>Broadcasting operation in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"C\">C<\/h2>\n<ul>\n<li>Capsule network in Deep Learning with TensorFlow<\/li>\n<li>Character-level language model in Deep Learning with TensorFlow<\/li>\n<li>Convolutional autoencoder in Deep Learning with TensorFlow<\/li>\n<li>Convolutional LSTM in Deep Learning with TensorFlow<\/li>\n<li>convolutional neural network in Deep Learning with TensorFlow<\/li>\n<li>cross-entropy loss in Deep Learning with TensorFlow<\/li>\n<li>Cross-validation in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"D\">D<\/h2>\n<ul>\n<li>data augmentation in Deep Learning with TensorFlow<\/li>\n<li>data preprocessing in Deep Learning with TensorFlow<\/li>\n<li>Deep belief network in Deep Learning with TensorFlow<\/li>\n<li>Deep reinforcement learning in Deep Learning with TensorFlow<\/li>\n<li>Denoising autoencoder in Deep Learning with TensorFlow<\/li>\n<li>Device in Deep Learning with TensorFlow<\/li>\n<li>dropout in Deep Learning with TensorFlow<\/li>\n<li>dropout layer in Deep Learning with TensorFlow<\/li>\n<li>Dropout regularization in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"E\">E<\/h2>\n<ul>\n<li>early stopping in Deep Learning with TensorFlow<\/li>\n<li>embedding layer in Deep Learning with TensorFlow<\/li>\n<li>Embedding matrix in Deep Learning with TensorFlow<\/li>\n<li>Ensemble learning in Deep Learning with TensorFlow<\/li>\n<li>epoch in Deep Learning with TensorFlow<\/li>\n<li>Error backpropagation in Deep Learning with TensorFlow<\/li>\n<li>eval in Deep Learning with TensorFlow<\/li>\n<li>Exploding gradient problem in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"F\">F<\/h2>\n<ul>\n<li>Feed in Deep Learning with TensorFlow<\/li>\n<li>feedforward neural network in Deep Learning with TensorFlow<\/li>\n<li>Fetch in Deep Learning with TensorFlow<\/li>\n<li>fine-tuning in Deep Learning with TensorFlow<\/li>\n<li>fully connected layer in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"G\">G<\/h2>\n<ul>\n<li>GAN in Deep Learning with TensorFlow<\/li>\n<li>Generative adversarial network in Deep Learning with TensorFlow<\/li>\n<li>Global max pooling in Deep Learning with TensorFlow<\/li>\n<li>gradient descent in Deep Learning with TensorFlow<\/li>\n<li>Graph in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"H\">H<\/h2>\n<ul>\n<li>hyperparameter tuning in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"I\">I<\/h2>\n<ul>\n<li>Inception network in Deep Learning with TensorFlow<\/li>\n<li>IndexedSlices in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"K\">K<\/h2>\n<ul>\n<li>K-fold cross-validation in Deep Learning with TensorFlow<\/li>\n<li>kernel in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"L\">L<\/h2>\n<ul>\n<li>Label smoothing in Deep Learning with TensorFlow<\/li>\n<li>Leaky relu in Deep Learning with TensorFlow<\/li>\n<li>Learning rate decay in Deep Learning with TensorFlow<\/li>\n<li>learning rate in Deep Learning with TensorFlow<\/li>\n<li>Long short-term memory in Deep Learning with TensorFlow<\/li>\n<li>loss function in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"M\">M<\/h2>\n<ul>\n<li>Max pooling in Deep Learning with TensorFlow<\/li>\n<li>Mean squared error in Deep Learning with TensorFlow<\/li>\n<li>mini-batch in Deep Learning with TensorFlow<\/li>\n<li>Model checkpointing in Deep Learning with TensorFlow<\/li>\n<li>Multiclass classification in Deep Learning with TensorFlow<\/li>\n<li>Multilayer perceptron in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"N\">N<\/h2>\n<ul>\n<li>neural network in Deep Learning with TensorFlow<\/li>\n<li>Node in Deep Learning with TensorFlow<\/li>\n<li>Normalization layer in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"O\">O<\/h2>\n<ul>\n<li>Object detection in Deep Learning with TensorFlow<\/li>\n<li>one-hot encoding in Deep Learning with TensorFlow<\/li>\n<li>optimizer in Deep Learning with TensorFlow<\/li>\n<li>overfitting in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"P\">P<\/h2>\n<ul>\n<li>Padding in Deep Learning with TensorFlow<\/li>\n<li>pooling layer in Deep Learning with TensorFlow<\/li>\n<li>pre-trained model in Deep Learning with TensorFlow<\/li>\n<li>Precision and recall in Deep Learning with TensorFlow<\/li>\n<li>Principal component analysis in Deep Learning with TensorFlow<\/li>\n<li>Probability density function in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"R\">R<\/h2>\n<ul>\n<li>Recurrent neural network (RNN) in Deep Learning with TensorFlow<\/li>\n<li>regularization in Deep Learning with TensorFlow<\/li>\n<li>ReLU activation function in Deep Learning with TensorFlow<\/li>\n<li>relu in Deep Learning with TensorFlow<\/li>\n<li>residual network in Deep Learning with TensorFlow<\/li>\n<li>ResNet (Residual network) in Deep Learning with TensorFlow<\/li>\n<li>RMSProp in Deep Learning with TensorFlow<\/li>\n<li>rnn in Deep Learning with TensorFlow<\/li>\n<li>Run in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"S\">S<\/h2>\n<ul>\n<li>Self-attention mechanism in Deep Learning with TensorFlow<\/li>\n<li>Sequence-to-sequence model in Deep Learning with TensorFlow<\/li>\n<li>Session in Deep Learning with TensorFlow<\/li>\n<li>Shape in Deep Learning with TensorFlow<\/li>\n<li>sigmoid in Deep Learning with TensorFlow<\/li>\n<li>Softmax activation function in Deep Learning with TensorFlow<\/li>\n<li>softmax in Deep Learning with TensorFlow<\/li>\n<li>SparseTensor in Deep Learning with TensorFlow<\/li>\n<li>Stochastic gradient descent (SGD) in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"T\">T<\/h2>\n<ul>\n<li>tensor in Deep Learning with TensorFlow<\/li>\n<li>tensorflow in Deep Learning with TensorFlow<\/li>\n<li>TensorFlow Lite in Deep Learning with TensorFlow<\/li>\n<li>TensorFlow.js in Deep Learning with TensorFlow<\/li>\n<li>test set in Deep Learning with TensorFlow<\/li>\n<li>training set in Deep Learning with TensorFlow<\/li>\n<li>transfer learning in Deep Learning with TensorFlow<\/li>\n<li>Triplet loss in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"U\">U<\/h2>\n<ul>\n<li>Unsupervised learning in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"V\">V<\/h2>\n<ul>\n<li>VAE in Deep Learning with TensorFlow<\/li>\n<li>validation set in Deep Learning with TensorFlow<\/li>\n<li>vanishing gradient problem in Deep Learning with TensorFlow<\/li>\n<li>Variational autoencoder (VAE) in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"W\">W<\/h2>\n<ul>\n<li>Weight decay in Deep Learning with TensorFlow<\/li>\n<li>weight initialization in Deep Learning with TensorFlow<\/li>\n<li>word embedding in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"X\">X<\/h2>\n<ul>\n<li>xavier initialization in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"Y\">Y<\/h2>\n<ul>\n<li>yolo in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"Z\">Z<\/h2>\n<ul>\n<li>zero-padding in Deep Learning with TensorFlow<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Important definitions and terminologies used in Deep Learning with TensorFlow ABCDEFGHIKLMNOPRSTUVWXYZ 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 Go to Top B backpropagation in Deep Learning with&#8230;<\/p>\n","protected":false},"author":10,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-129572","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Deep Learning with TensorFlow Glossary - Tutorial<\/title>\n<meta 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