Machine Learning
portes grátis
Machine Learning
Theory to Applications
Mirtaheri, Seyedeh Leili; Shahbazian, Reza
Taylor & Francis Ltd
09/2022
202
Mole
Inglês
9780367634568
15 a 20 dias
453
Descrição não disponível.
1. Introduction 2. Linear Algebra 3. Machine Learning 4. Some Practical Notes 5. Deep Learning 6. Generative Adversarial Networks 7. Implementation
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artifical Intelligence;Cognitive AI-based decision making;Autonomous vehicles;Artificial Data sets;Synthetic data;Generative Networks;Convolutional netoworks;Recurrent Nural networks;Long Short term memory;Deep Learning;Machine Learning;Train Dataset;Dl Algorithm;DNN;Training Dataset;Convolutional Layers;Neural Network;Hidden Layer;Ml Algorithm;Cost Function;Stochastic Gradient Descent;Convolution Layer;RNNs;Pooling Layer;KNN Classifier;L2 Regularization;Gradient Descent;DBNs;Reinforcement Learning Algorithms;Dataset;Validation Dataset;NVIDIA CUDA;SVM Classifier;Input Volume;Unsupervised Machine Learning
1. Introduction 2. Linear Algebra 3. Machine Learning 4. Some Practical Notes 5. Deep Learning 6. Generative Adversarial Networks 7. Implementation
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artifical Intelligence;Cognitive AI-based decision making;Autonomous vehicles;Artificial Data sets;Synthetic data;Generative Networks;Convolutional netoworks;Recurrent Nural networks;Long Short term memory;Deep Learning;Machine Learning;Train Dataset;Dl Algorithm;DNN;Training Dataset;Convolutional Layers;Neural Network;Hidden Layer;Ml Algorithm;Cost Function;Stochastic Gradient Descent;Convolution Layer;RNNs;Pooling Layer;KNN Classifier;L2 Regularization;Gradient Descent;DBNs;Reinforcement Learning Algorithms;Dataset;Validation Dataset;NVIDIA CUDA;SVM Classifier;Input Volume;Unsupervised Machine Learning
