MindMap Gallery AI
This is a mind map about artificial intelligence. The main contents include: application fields, deep learning, and machine learning. Welcome to like and collect!
This is a mind map about bacteria, and its main contents include: overview, morphology, types, structure, reproduction, distribution, application, and expansion. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about plant asexual reproduction, and its main contents include: concept, spore reproduction, vegetative reproduction, tissue culture, and buds. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about the reproductive development of animals, and its main contents include: insects, frogs, birds, sexual reproduction, and asexual reproduction. The summary is comprehensive and meticulous, suitable as review materials.
advantages and disadvantages of technology
College Computer Science Teachers
CT soft control techniques
Integrated Call-Bell System
Computer Science
The Internet Business School - Simon Coulson
PHP the Right way
Essential DevOps Tools
Java Topics
MPLS Training
AI
machine learning
supervised learning
linear regression
subtopic
logistic regression
decision tree
random forest
svm
Classification
Binary Classification
Multi-class Classification
Multi-label Classification
Anomaly Detection
unsupervised learning
clustering
k-means clustering
Hierarchical clustering
DBSCAM
Association rule learning
Dimensionality reduction
semi-supervised learning
Tag spread
Generate model
reinforcement learning
value based approach
q learning
deep q network
strategy based approach
policy gradient
Trust domain policy optimization
Model based approach
dynamic programming
model predictive control
deep learning
convolutional neural network
Convolution
Pooling
Activation Functions
Recurrent Layers
Recurrent Neural Network (RNN)
Linear Recurrent Neural Network (LSTM)
Gated Recirculation Unit (GRU)
Bidirectional RNN
Generative Adversarial Network (GAN)
Generator
Discriminator
Autoencoders
Sparse Autoencoders
Variational Autoencoders
Attention Mechanisms
Seq2Seq Models
Transformer
Application areas
Natural Language Processing (NLP)
Text Classification
Sentiment Analysis
Machine Translation
Speech Recognition
Computer Vision
Image Classification
Object Detection
Image Segmentation
Face Recognition
Speech and Audio Processing
Speech Synthesis
Audio Recognition
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