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Explainer
Prerequisite link
Neural Networks
NN
Forward Propagat...
FP
The Perceptron
TP
Bias & Decision ...
BDB
Softmax, Logits ...
SLT
Classification v...
CVR
Loss Functions
LF
Gradient Descent
GD
Hyperparameters
H
Feature Scaling
FS
Epochs & Batching
EB
Model Evaluation...
MEM
Train, Validatio...
TVT
Bias-Variance Tr...
BT
Cross-Validation
C
Learning Curves
LC
Curse of Dimensi...
COD
Class Imbalance ...
CIR
Feature Selection
FS
Decision Trees &...
DTS
K-Nearest Neighb...
KN
Support Vector M...
SVM
Naive Bayes Clas...
NBC
K-Means Clustering
KC
Bagging & Random...
BRF
Gradient Boosting
GB
Ensemble Methods...
EMS
Derivatives
D
The Chain Rule
TCR
Matrix Calculus ...
MCJ
Convexity, Minim...
CMS
Constrained Opti...
CO
Partial Derivati...
PDG
Logarithms & Exp...
LE
Linear Algebra
LA
Tensors, Broadca...
TBR
Eigenvalues & Ei...
EE
Norms & Distance...
NDM
Singular Value D...
SVD
Probability & Di...
PD
Bayes' Theorem
BT
Entropy & Cross-...
EC
KL Divergence
KD
Statistics Essen...
SE
MLE & MAP Estima...
MME
Sampling & Monte...
SMC
Hypothesis Testing
HT
Backpropagation
B
Activation Funct...
AF
Overfitting & Un...
OU
Regularization
R
Optimizers
O
Batch Normalizat...
BN
Weight Initializ...
WI
Vanishing & Expl...
VEG
Learning Rate Sc...
LRS
Convolutional Ne...
CNN
Recurrent Neural...
RNN
LSTMs
L
Autoencoders & V...
AV
GANs
G
Skip Connections...
SCR
How Self-Attenti...
HSW
Multi-Head Atten...
MA
Cross-Attention
C
Positional Encod...
PE
The Transformer ...
TTA
Decoder-Only Tra...
DT
Tokenization & BPE
TB
TF-IDF
T
Bag of Words
BOW
Word2Vec & Word ...
WWE
CBOW (Continuous...
C(B
Skip-gram
S
Text Classificat...
TCS
Seq2Seq & Beam S...
SBS
Named Entity Rec...
NER
Language Modeling
LM
BERT & Masked La...
BML
Pooling & Downsa...
PD
Object Detection
OD
Image Segmentation
IS
Data Augmentation
DA
Diffusion Models
DM
RLHF
R
LoRA & Parameter...
LPF
Retrieval-Augmen...
RG
Feature Extraction
FE
Data Preprocessing
DP
Embeddings
E
Transfer Learning
TL
Dimensionality R...
DR