#Deep LearnIng Inference | Applications
#Convolutional Neural Network
#Artificial Intelligence
#Machine Learning
#Artificial Neural Network
#Image Analysis
#Shift Invariant Neural Network
#Shared Weight Architecture
#Convolutional Kernel
#Filters
#Feature Map
#Image Recognition
#Video Recognition
#Remommender System
#Image Classification
#Image Segmentation
#Media Image Analysis
#Natural Language Processing
#Brain Computer Interface
#Financial Time Series
#Multilayer Perceptron
#Fully Connected Networks
#One Neuron Connected To All Layers In The Next Layer
#Over Fitting Data
#Penalizing Parameters
#Weight Decay
#Skipped Connections
#Hierarchical Pattern Of Data
#Biological Process
#Animal Visual Cortex
#Cortical Neuron
#Receptive Field
#Perceptual AI
#Edge AI
#Token
#Fine-tuning
#AI model
#Tokenization
#Speech to text
#Text classification
#Sentiment
#Semantic similarity
#Semantic search
#Part of Speech tagging
#Named Entity Recognition
#Intent classification | Intent detection | Intent recognition
#Summarization
#Code Generation
#Training Convolutional Neural Networks (CNN)
#Error surface learning
#Gradient-based learning
#Hyperparameters
#Loss Functions