Deep Learning with Python Glossary

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 Neural Network in Deep Learning with Python
• Attention mechanisms in Deep Learning with Python
• Attention-based models in Deep Learning with Python
• Autoencoders in Deep Learning with Python

B

• Backpropagation in Deep Learning with Python
• Batch gradient descent in Deep Learning with Python
• Batch normalization in Deep Learning with Python
• Batches in Deep Learning with Python
• Bayesian optimization in Deep Learning with Python
• Bias in Deep Learning with Python
• Bidirectional neural networks in Deep Learning with Python

C

• Capsule networks in Deep Learning with Python
• Character-level language models in Deep Learning with Python
• Conditional generative models in Deep Learning with Python
• Contrastive learning in Deep Learning with Python
• Convolution in Deep Learning with Python
• Convolutional Neural Network (CNN) in Deep Learning with Python
• Convolutional neural networks in Deep Learning with Python
• Cost Function in Deep Learning with Python
• Cross-entropy loss in Deep Learning with Python
• Curriculum learning in Deep Learning with Python

D

• Data augmentation in Deep Learning with Python
• Data preprocessing in Deep Learning with Python
• Deep belief networks in Deep Learning with Python
• Deep reinforcement learning in Deep Learning with Python
• Dense layers in Deep Learning with Python
• Differential privacy in Deep Learning with Python
• Dimensionality reduction in Deep Learning with Python
• Dropout in Deep Learning with Python
• Dynamic programming in Deep Learning with Python

E

• Early stopping in Deep Learning with Python
• Elastic net regularization in Deep Learning with Python
• Embedding layers in Deep Learning with Python
• Embeddings in Deep Learning with Python
• Ensemble learning in Deep Learning with Python
• Epochs in Deep Learning with Python
• Evolutionary algorithms in Deep Learning with Python
• Exploding Gradient Problem in Deep Learning with Python
• Exploding gradients in Deep Learning with Python

F

• Face recognition in Deep Learning with Python
• Feature engineering in Deep Learning with Python
• Feedforward neural networks in Deep Learning with Python
• Filters in Deep Learning with Python
• Fine-tuning in Deep Learning with Python
• Focal loss in Deep Learning with Python
• Forward Propagation in Deep Learning with Python

G

• Generative adversarial networks in Deep Learning with Python
• Generative models in Deep Learning with Python
• Generative pre-training in Deep Learning with Python
• Gradient clipping in Deep Learning with Python
• Gradient descent in Deep Learning with Python
• Graph convolutional networks in Deep Learning with Python
• Grid search in Deep Learning with Python

H

• Hessian-free optimization in Deep Learning with Python
• Hierarchical clustering in Deep Learning with Python
• Hyperparameter tuning in Deep Learning with Python

I

• Image recognition in Deep Learning with Python
• Image segmentation in Deep Learning with Python
• Inception networks in Deep Learning with Python
• Inference engines in Deep Learning with Python
• Input/ Output/ Hidden Layers in Deep Learning with Python
• Instance segmentation in Deep Learning with Python
• Interpretability in AI in Deep Learning with Python

K

• Keras in Deep Learning with Python
• Kernel density estimation in Deep Learning with Python
• Knowledge distillation in Deep Learning with Python

L

• Label propagation in Deep Learning with Python
• Label smoothing in Deep Learning with Python
• Learning rate decay in Deep Learning with Python
• Learning Rate in Deep Learning with Python
• Learning to rank in Deep Learning with Python
• Locally connected layers in Deep Learning with Python
• Long short-term memory in Deep Learning with Python
• Loss functions in Deep Learning with Python

M

• Masked language modeling in Deep Learning with Python
• Maximum likelihood estimation in Deep Learning with Python
• Mean squared error in Deep Learning with Python
• Memory networks in Deep Learning with Python
• Model ensembling in Deep Learning with Python
• Monte Carlo methods in Deep Learning with Python
• Multilayer Perceptron (MLP) in Deep Learning with Python
• Multilayer perceptrons in Deep Learning with Python
• Multitask learning in Deep Learning with Python

N

• Natural language generation in Deep Learning with Python
• Natural language processing in Deep Learning with Python
• Network Layers in Deep Learning with Python
• Neural machine translation in Deep Learning with Python
• Neural style transfer in Deep Learning with Python
• Neuron in Deep Learning with Python
• Normalization layers in Deep Learning with Python

O

• Object detection in Deep Learning with Python
• Object tracking in Deep Learning with Python
• One-shot learning in Deep Learning with Python
• Optimization algorithms in Deep Learning with Python
• Ordinal regression in Deep Learning with Python
• Overfitting in Deep Learning with Python

P

• Padding in Deep Learning with Python
• Pairwise ranking loss in Deep Learning with Python
• Partial differential equations in Deep Learning with Python
• Policy gradient methods in Deep Learning with Python
• Pooling in Deep Learning with Python
• Pooling layers in Deep Learning with Python
• Pre-trained models in Deep Learning with Python
• PyTorch in Deep Learning with Python

Q

• Q-learning in Deep Learning with Python
• Quantum machine learning in Deep Learning with Python

R

• Radial basis function networks in Deep Learning with Python
• Random forests in Deep Learning with Python
• Random search in Deep Learning with Python
• Recurrent Neural Network in Deep Learning with Python
• Recurrent neural networks in Deep Learning with Python
• Recurrent Neuron in Deep Learning with Python
• Regularization in Deep Learning with Python
• Reinforcement learning in Deep Learning with Python
• ReLU activation in Deep Learning with Python
• ReLu in Deep Learning with Python
• Residual connections in Deep Learning with Python
• Residual networks in Deep Learning with Python
• Restricted Boltzmann machines in Deep Learning with Python

S

• Self-attention in Deep Learning with Python
• Self-supervised learning in Deep Learning with Python
• Sequence modeling in Deep Learning with Python
• SGD (Stochastic gradient descent) in Deep Learning with Python
• Siamese networks in Deep Learning with Python
• Sigmoid function in Deep Learning with Python
• Sigmoid in Deep Learning with Python
• Softmax function in Deep Learning with Python
• Softmax in Deep Learning with Python
• Sparse autoencoders in Deep Learning with Python
• Spatial transformers in Deep Learning with Python
• Structured prediction in Deep Learning with Python
• Style transfer in Deep Learning with Python
• Super-resolution in Deep Learning with Python
• Support vector machines in Deep Learning with Python

T

• TensorFlow in Deep Learning with Python
• Text classification in Deep Learning with Python
• Text-to-speech in Deep Learning with Python
• Time series forecasting in Deep Learning with Python
• Tokenization in Deep Learning with Python
• Topology optimization in Deep Learning with Python
• Training in Deep Learning with Python
• Transfer learning in Deep Learning with Python
• Transfer reinforcement learning in Deep Learning with Python
• Triplet loss in Deep Learning with Python

U

• Uncertainty estimation in Deep Learning with Python
• Unet architecture in Deep Learning with Python
• Unsupervised learning in Deep Learning with Python

V

• Vanishing Gradient Problem in Deep Learning with Python
• Variational autoencoders in Deep Learning with Python
• Variational inference in Deep Learning with Python
• Visual question answering in Deep Learning with Python

W

• Wasserstein GAN in Deep Learning with Python
• Weight decay. in Deep Learning with Python
• Weight initialization in Deep Learning with Python
• Weights in Deep Learning with Python
• Word embeddings in Deep Learning with Python
• Word2Vec in Deep Learning with Python

X

• XGBoost in Deep Learning with Python

Z

• Zero-shot learning. in Deep Learning with Python