{"id":129576,"date":"2023-05-09T17:20:27","date_gmt":"2023-05-09T11:50:27","guid":{"rendered":"https:\/\/www.vskills.in\/certification\/tutorial\/?page_id=129576"},"modified":"2024-04-12T14:33:51","modified_gmt":"2024-04-12T09:03:51","slug":"deep-learning-with-python-glossary","status":"publish","type":"page","link":"https:\/\/www.vskills.in\/certification\/tutorial\/deep-learning-with-python-glossary\/","title":{"rendered":"Deep Learning with Python Glossary"},"content":{"rendered":"\n<p>Important definitions and terminologies used in Deep Learning with Python<\/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=\"#Q\">Q<\/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=\"#Z\">Z<\/a><\/div>\n<h2 id=\"A\">A<\/h2>\n<ul>\n<li>Activation Function in Deep Learning with Python<\/li>\n<li>Activation functions in Deep Learning with Python<\/li>\n<li>Activation maximization in Deep Learning with Python<\/li>\n<li>Actor-critic methods in Deep Learning with Python<\/li>\n<li>Adversarial examples in Deep Learning with Python<\/li>\n<li>Adversarial networks in Deep Learning with Python<\/li>\n<li>Artificial Neural Network in Deep Learning with Python<\/li>\n<li>Attention mechanisms in Deep Learning with Python<\/li>\n<li>Attention-based models in Deep Learning with Python<\/li>\n<li>Autoencoders in Deep Learning with Python<\/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 Python<\/li>\n<li>Batch gradient descent in Deep Learning with Python<\/li>\n<li>Batch normalization in Deep Learning with Python<\/li>\n<li>Batches in Deep Learning with Python<\/li>\n<li>Bayesian optimization in Deep Learning with Python<\/li>\n<li>Bias in Deep Learning with Python<\/li>\n<li>Bidirectional neural networks in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"C\">C<\/h2>\n<ul>\n<li>Capsule networks in Deep Learning with Python<\/li>\n<li>Character-level language models in Deep Learning with Python<\/li>\n<li>Conditional generative models in Deep Learning with Python<\/li>\n<li>Contrastive learning in Deep Learning with Python<\/li>\n<li>Convolution in Deep Learning with Python<\/li>\n<li>Convolutional Neural Network (CNN) in Deep Learning with Python<\/li>\n<li>Convolutional neural networks in Deep Learning with Python<\/li>\n<li>Cost Function in Deep Learning with Python<\/li>\n<li>Cross-entropy loss in Deep Learning with Python<\/li>\n<li>Curriculum learning in Deep Learning with Python<\/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 Python<\/li>\n<li>Data preprocessing in Deep Learning with Python<\/li>\n<li>Deep belief networks in Deep Learning with Python<\/li>\n<li>Deep reinforcement learning in Deep Learning with Python<\/li>\n<li>Dense layers in Deep Learning with Python<\/li>\n<li>Differential privacy in Deep Learning with Python<\/li>\n<li>Dimensionality reduction in Deep Learning with Python<\/li>\n<li>Dropout in Deep Learning with Python<\/li>\n<li>Dynamic programming in Deep Learning with Python<\/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 Python<\/li>\n<li>Elastic net regularization in Deep Learning with Python<\/li>\n<li>Embedding layers in Deep Learning with Python<\/li>\n<li>Embeddings in Deep Learning with Python<\/li>\n<li>Ensemble learning in Deep Learning with Python<\/li>\n<li>Epochs in Deep Learning with Python<\/li>\n<li>Evolutionary algorithms in Deep Learning with Python<\/li>\n<li>Exploding Gradient Problem in Deep Learning with Python<\/li>\n<li>Exploding gradients in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"F\">F<\/h2>\n<ul>\n<li>Face recognition in Deep Learning with Python<\/li>\n<li>Feature engineering in Deep Learning with Python<\/li>\n<li>Feedforward neural networks in Deep Learning with Python<\/li>\n<li>Filters in Deep Learning with Python<\/li>\n<li>Fine-tuning in Deep Learning with Python<\/li>\n<li>Focal loss in Deep Learning with Python<\/li>\n<li>Forward Propagation in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"G\">G<\/h2>\n<ul>\n<li>Generative adversarial networks in Deep Learning with Python<\/li>\n<li>Generative models in Deep Learning with Python<\/li>\n<li>Generative pre-training in Deep Learning with Python<\/li>\n<li>Gradient clipping in Deep Learning with Python<\/li>\n<li>Gradient descent in Deep Learning with Python<\/li>\n<li>Graph convolutional networks in Deep Learning with Python<\/li>\n<li>Grid search in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"H\">H<\/h2>\n<ul>\n<li>Hessian-free optimization in Deep Learning with Python<\/li>\n<li>Hierarchical clustering in Deep Learning with Python<\/li>\n<li>Hyperparameter tuning in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"I\">I<\/h2>\n<ul>\n<li>Image recognition in Deep Learning with Python<\/li>\n<li>Image segmentation in Deep Learning with Python<\/li>\n<li>Inception networks in Deep Learning with Python<\/li>\n<li>Inference engines in Deep Learning with Python<\/li>\n<li>Input\/ Output\/ Hidden Layers in Deep Learning with Python<\/li>\n<li>Instance segmentation in Deep Learning with Python<\/li>\n<li>Interpretability in AI in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"K\">K<\/h2>\n<ul>\n<li>Keras in Deep Learning with Python<\/li>\n<li>Kernel density estimation in Deep Learning with Python<\/li>\n<li>Knowledge distillation in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"L\">L<\/h2>\n<ul>\n<li>Label propagation in Deep Learning with Python<\/li>\n<li>Label smoothing in Deep Learning with Python<\/li>\n<li>Learning rate decay in Deep Learning with Python<\/li>\n<li>Learning Rate in Deep Learning with Python<\/li>\n<li>Learning to rank in Deep Learning with Python<\/li>\n<li>Locally connected layers in Deep Learning with Python<\/li>\n<li>Long short-term memory in Deep Learning with Python<\/li>\n<li>Loss functions in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"M\">M<\/h2>\n<ul>\n<li>Masked language modeling in Deep Learning with Python<\/li>\n<li>Maximum likelihood estimation in Deep Learning with Python<\/li>\n<li>Mean squared error in Deep Learning with Python<\/li>\n<li>Memory networks in Deep Learning with Python<\/li>\n<li>Model ensembling in Deep Learning with Python<\/li>\n<li>Monte Carlo methods in Deep Learning with Python<\/li>\n<li>Multilayer Perceptron (MLP) in Deep Learning with Python<\/li>\n<li>Multilayer perceptrons in Deep Learning with Python<\/li>\n<li>Multitask learning in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"N\">N<\/h2>\n<ul>\n<li>Natural language generation in Deep Learning with Python<\/li>\n<li>Natural language processing in Deep Learning with Python<\/li>\n<li>Network Layers in Deep Learning with Python<\/li>\n<li>Neural machine translation in Deep Learning with Python<\/li>\n<li>Neural style transfer in Deep Learning with Python<\/li>\n<li>Neuron in Deep Learning with Python<\/li>\n<li>Normalization layers in Deep Learning with Python<\/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 Python<\/li>\n<li>Object tracking in Deep Learning with Python<\/li>\n<li>One-shot learning in Deep Learning with Python<\/li>\n<li>Optimization algorithms in Deep Learning with Python<\/li>\n<li>Ordinal regression in Deep Learning with Python<\/li>\n<li>Overfitting in Deep Learning with Python<\/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 Python<\/li>\n<li>Pairwise ranking loss in Deep Learning with Python<\/li>\n<li>Partial differential equations in Deep Learning with Python<\/li>\n<li>Policy gradient methods in Deep Learning with Python<\/li>\n<li>Pooling in Deep Learning with Python<\/li>\n<li>Pooling layers in Deep Learning with Python<\/li>\n<li>Pre-trained models in Deep Learning with Python<\/li>\n<li>PyTorch in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"Q\">Q<\/h2>\n<ul>\n<li>Q-learning in Deep Learning with Python<\/li>\n<li>Quantum machine learning in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"R\">R<\/h2>\n<ul>\n<li>Radial basis function networks in Deep Learning with Python<\/li>\n<li>Random forests in Deep Learning with Python<\/li>\n<li>Random search in Deep Learning with Python<\/li>\n<li>Recurrent Neural Network in Deep Learning with Python<\/li>\n<li>Recurrent neural networks in Deep Learning with Python<\/li>\n<li>Recurrent Neuron in Deep Learning with Python<\/li>\n<li>Regularization in Deep Learning with Python<\/li>\n<li>Reinforcement learning in Deep Learning with Python<\/li>\n<li>ReLU activation in Deep Learning with Python<\/li>\n<li>ReLu in Deep Learning with Python<\/li>\n<li>Residual connections in Deep Learning with Python<\/li>\n<li>Residual networks in Deep Learning with Python<\/li>\n<li>Restricted Boltzmann machines in Deep Learning with Python<\/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 in Deep Learning with Python<\/li>\n<li>Self-supervised learning in Deep Learning with Python<\/li>\n<li>Sequence modeling in Deep Learning with Python<\/li>\n<li>SGD (Stochastic gradient descent) in Deep Learning with Python<\/li>\n<li>Siamese networks in Deep Learning with Python<\/li>\n<li>Sigmoid function in Deep Learning with Python<\/li>\n<li>Sigmoid in Deep Learning with Python<\/li>\n<li>Softmax function in Deep Learning with Python<\/li>\n<li>Softmax in Deep Learning with Python<\/li>\n<li>Sparse autoencoders in Deep Learning with Python<\/li>\n<li>Spatial transformers in Deep Learning with Python<\/li>\n<li>Structured prediction in Deep Learning with Python<\/li>\n<li>Style transfer in Deep Learning with Python<\/li>\n<li>Super-resolution in Deep Learning with Python<\/li>\n<li>Support vector machines in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"T\">T<\/h2>\n<ul>\n<li>TensorFlow in Deep Learning with Python<\/li>\n<li>Text classification in Deep Learning with Python<\/li>\n<li>Text-to-speech in Deep Learning with Python<\/li>\n<li>Time series forecasting in Deep Learning with Python<\/li>\n<li>Tokenization in Deep Learning with Python<\/li>\n<li>Topology optimization in Deep Learning with Python<\/li>\n<li>Training in Deep Learning with Python<\/li>\n<li>Transfer learning in Deep Learning with Python<\/li>\n<li>Transfer reinforcement learning in Deep Learning with Python<\/li>\n<li>Triplet loss in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"U\">U<\/h2>\n<ul>\n<li>Uncertainty estimation in Deep Learning with Python<\/li>\n<li>Unet architecture in Deep Learning with Python<\/li>\n<li>Unsupervised learning in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"V\">V<\/h2>\n<ul>\n<li>Vanishing Gradient Problem in Deep Learning with Python<\/li>\n<li>Variational autoencoders in Deep Learning with Python<\/li>\n<li>Variational inference in Deep Learning with Python<\/li>\n<li>Visual question answering in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"W\">W<\/h2>\n<ul>\n<li>Wasserstein GAN in Deep Learning with Python<\/li>\n<li>Weight decay. in Deep Learning with Python<\/li>\n<li>Weight initialization in Deep Learning with Python<\/li>\n<li>Weights in Deep Learning with Python<\/li>\n<li>Word embeddings in Deep Learning with Python<\/li>\n<li>Word2Vec in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"X\">X<\/h2>\n<ul>\n<li>XGBoost in Deep Learning with Python<\/li>\n<\/ul>\n<div><a href=\"#top\">Go to Top<\/a><\/div>\n<h2 id=\"Z\">Z<\/h2>\n<ul>\n<li>Zero-shot learning. in Deep Learning with Python<\/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 Python ABCDEFGHIKLMNOPQRSTUVWXZ A Activation Function in Deep Learning with Python Activation functions in Deep Learning with Python Activation maximization in Deep Learning with Python Actor-critic methods in Deep Learning with Python Adversarial examples in Deep Learning with Python Adversarial networks in Deep Learning with Python Artificial&#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-129576","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 Python Glossary - Tutorial<\/title>\n<meta name=\"description\" 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