Resources


Topics

Activation Function

Adam

AlexNet

ArviZ

Backpropagation

bayesian models

Class Activation Map (CAM)

CNNs

Convexity

Convolutional Neural Networks

Data Augmentation

DataGenerators

Deconvolution

DenseNet

Dropout

Early Stopping

ELBO

embeddings

Feature Maps

Feed forward neural network

forward pass

Gaussian Mixture Model (GMM)

Grad-CAM

Gradient Clipping

Gradient Descent

Guided Backpropogation

Guided Grad-CAM

hierarchical bayesian models

Inception

Kalman Filter

L1

L2

Learning Rate

Loss Function

Max Pooling

MobileNet

Momentum

Multi-Layer Perceptron (MLP)

Natural Language Processing

NN Anatomy

NN Architecture

Object Detection

Optimizers

Output Units

padding

Particle Filters

Perceptron

Pooling

pyMC3

pytorch

R-CNN

Receptive Fields

Recurrent Neural Networks

Regularization

ResNet

RMSProp Adagrad

Saliency Maps

Semantic Segmentation

Sequential Monte Carlo (SMC)

SGD

Skip Connections

SOTA

stemming

Stochastic Gradient Descent

Subgradients

tensorflow

tokenization

Transfer Learning

U-Net

Weight Decay