Transcription
CCSAArtificial IntelligenceCheckpointwww.sevenmentor.com
Artificial IntelligenceAn Introduction to Artificial IntelligenceHistory of Artificial IntelligenceFuture and Market Trends in Artificial IntelligenceIntelligent Agents – Perceive-Reason-Act LoopSearch and Symbolic SearchConstraint-based ReasoningSimple Adversarial Search (Game-Playing)Neural Networks and PerceptronsUnderstanding Feedforward NetworksBoltzmann Machines and AutoencodersExploring BackpropagationDeep Networks and Structured KnowledgeDeep Networks/Deep LearningKnowledge-based ReasoningFirst-order Logic and TheoremRules and Rule-based ReasoningStudying Blackboard SystemsStructured Knowledge: Frames, Cyc, Conceptual DependencyDescription LogicReasoning with UncertaintyProbability & Certainty-FactorsWhat are Bayesian Networks?Understanding Sensor ProcessingNatural Language ProcessingStudying Neural ElementsConvolutional NetworksRecurrent NetworksLong Short-Term Memory (LSTM) Networkswww.sevenmentor.com
Machine Learning and HackingMachine learningReprise: Deep LearningSymbolic Approaches and Multiagent SystemsSocietal/Ethical ConcernsHacking and Ethical ConcernsBehaviour and HackingJob Displacement & Societal DisruptionEthics of Deadly AIsDanger of Displacement of HumanityThe future of Artificial IntelligenceNatural Language ProcessingNatural Language ProcessingNatural Language Processing in PythonNatural Language Processing in RStudying Deep LearningArtificial Neural NetworksANN IntuitionPlan of AttackStudying the NeuronThe Activation FunctionWorking of Neural NetworksExploring Gradient DescentStochastic Gradient DescentExploring Backpropagationwww.sevenmentor.com
Artificial and Conventional Neural NetworkUnderstanding Artificial Neural NetworkBuilding an ANNBuilding Problem DescriptionEvaluation the ANNImproving the ANNTuning the ANNConventional Neural NetworksCNN IntuitionConvolution OperationReLU LayerPooling and FlatteningFull ConnectionSoftmax and Cross-EntropyBuilding a CNNEvaluating the CNNImproving the CNNTuning the CNNRecurrent Neural NetworkRecurrent Neural NetworkRNN IntuitionThe Vanishing Gradient ProblemLSTMs and LSTM VariationsPractical IntuitionBuilding an RNNEvaluating the RNNImproving the RNNTuning the RNNwww.sevenmentor.com
Self-Organizing MapsSelf-Organizing MapsSOMs IntuitionPlan of AttackWorking of Self-Organizing MapsRevisiting K-MeansK-Means ClusteringReading an Advanced SOMBuilding an SOMBoltzmann MachinesEnergy-Based Models (EBM)Restricted Boltzmann MachineExploring Contrastive DivergenceDeep Belief NetworksDeep Boltzmann MachinesBuilding a Boltzmann MachineInstalling Ubuntu on WindowsInstalling PyTorchAutoEncodersAutoEncoders: An OverviewAutoEncoders IntuitionPlan of AttackTraining an AutoEncoderOvercomplete hidden layersSparse AutoencodersDenoising AutoencodersContractive AutoencodersStacked AutoencodersDeep Autoencoderswww.sevenmentor.com
PCA, LDA, and Dimensionality ReductionDimensionality ReductionPrincipal Component Analysis (PCA)PCA in PythonPCA in RLinear Discriminant Analysis (LDA)LDA in PythonLDA in RKernel PCAKernel PCA in PythonKernel PCA in RModel Selection and BoostingK-Fold Cross Validation in PythonGrid Search in PythonK-Fold Cross Validation in RGrid Search in RXGBoostXGBoost in PythonXGBoost in Rwww.sevenmentor.com
Machine learning Reprise: Deep Learning Symbolic Approaches and Multiagent Systems . Natural Language Processing Natural Language Processing in Python Natural Language Processing in R Studying Deep Learning Artificial Neural Networks ANN Intuition Plan of Attack . Building a Boltzmann Machine Installing Ubuntu on Windows Installing PyTorch .
