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Home
Basics
Data Scaling
Linear Regression
Loss and Metric
Gradient Descent
Stochastic Gradient Descent
Tensors
Neural Network
Perceptron
Backpropagation
Multi-layer Network
Deep Learning
Introduction
Data for Training
Activation Functions
Optimizers
Loss Functions
Visual Demo
Managing Model
Vision
Visual Demo
Image Data
Images to Training Input
Convolution Kernels
Pooling
Audio
Visual Demo
Audio Basics
Speech Sampling
Text
Spam Detection
Question Answering
Word Embeddings
Position Embedding
Attention Scores
Attention Heatmaps
BERT Explorer
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Basics
Data Scaling
Linear Regression
Loss and Metric
Gradient Descent
Stochastic Gradient Descent
Tensors
Neural Network
Perceptron
Backpropagation
Multi-layer Network
Deep Learning
Introduction
Data for Training
Activation Functions
Optimizers
Loss Functions
Visual Demo
Managing Model
Vision
Visual Demo
Image Data
Images to Training Input
Convolution Kernels
Pooling
Audio
Visual Demo
Audio Basics
Speech Sampling
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Attention Scores
Attention Heatmaps
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101ai_net_code31_text_bert_explorer.pdf101ai_net_code31_text_bert_explorer.pdf