Deep Learning with R, Third Edition
portes grátis
Deep Learning with R, Third Edition
Kalinowski, Tomasz
Manning Publications
03/2026
702
Dura
Inglês
9781633435186
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
1 WHAT IS DEEP LEARNING?
2 THE MATHEMATICAL BUILDING BLOCKS OF NEURAL NETWORKS
3 INTRODUCTION TO TENSORFLOW, PYTORCH, JAX, AND KERAS
4 CLASSIFICATION AND REGRESSION
5 FUNDAMENTALS OF MACHINE LEARNING
6 THE UNIVERSAL WORKFLOW OF MACHINE LEARNING
7 A DEEP DIVE ON KERAS
8 IMAGE CLASSIFICATION
9 CONVNET ARCHITECTURE PATTERNS
10 INTERPRETING WHAT CONVNETS LEARN
11 IMAGE SEGMENTATION
12 OBJECT DETECTION
13 TIMESERIES FORECASTING
14 TEXT CLASSIFICATION
15 LANGUAGE MODELS AND THE TRANSFORMER
16 TEXT GENERATION
17 IMAGE GENERATION
18 BEST PRACTICES FOR THE REAL WORLD
19 THE FUTURE OF AI
2 THE MATHEMATICAL BUILDING BLOCKS OF NEURAL NETWORKS
3 INTRODUCTION TO TENSORFLOW, PYTORCH, JAX, AND KERAS
4 CLASSIFICATION AND REGRESSION
5 FUNDAMENTALS OF MACHINE LEARNING
6 THE UNIVERSAL WORKFLOW OF MACHINE LEARNING
7 A DEEP DIVE ON KERAS
8 IMAGE CLASSIFICATION
9 CONVNET ARCHITECTURE PATTERNS
10 INTERPRETING WHAT CONVNETS LEARN
11 IMAGE SEGMENTATION
12 OBJECT DETECTION
13 TIMESERIES FORECASTING
14 TEXT CLASSIFICATION
15 LANGUAGE MODELS AND THE TRANSFORMER
16 TEXT GENERATION
17 IMAGE GENERATION
18 BEST PRACTICES FOR THE REAL WORLD
19 THE FUTURE OF AI
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
deep learning; R programming; machine learning; Keras; TensorFlow; neural networks; image classification; image segmentation; time series forecasting; text classification; natural language processing; generative models; transformers; computer vision
1 WHAT IS DEEP LEARNING?
2 THE MATHEMATICAL BUILDING BLOCKS OF NEURAL NETWORKS
3 INTRODUCTION TO TENSORFLOW, PYTORCH, JAX, AND KERAS
4 CLASSIFICATION AND REGRESSION
5 FUNDAMENTALS OF MACHINE LEARNING
6 THE UNIVERSAL WORKFLOW OF MACHINE LEARNING
7 A DEEP DIVE ON KERAS
8 IMAGE CLASSIFICATION
9 CONVNET ARCHITECTURE PATTERNS
10 INTERPRETING WHAT CONVNETS LEARN
11 IMAGE SEGMENTATION
12 OBJECT DETECTION
13 TIMESERIES FORECASTING
14 TEXT CLASSIFICATION
15 LANGUAGE MODELS AND THE TRANSFORMER
16 TEXT GENERATION
17 IMAGE GENERATION
18 BEST PRACTICES FOR THE REAL WORLD
19 THE FUTURE OF AI
2 THE MATHEMATICAL BUILDING BLOCKS OF NEURAL NETWORKS
3 INTRODUCTION TO TENSORFLOW, PYTORCH, JAX, AND KERAS
4 CLASSIFICATION AND REGRESSION
5 FUNDAMENTALS OF MACHINE LEARNING
6 THE UNIVERSAL WORKFLOW OF MACHINE LEARNING
7 A DEEP DIVE ON KERAS
8 IMAGE CLASSIFICATION
9 CONVNET ARCHITECTURE PATTERNS
10 INTERPRETING WHAT CONVNETS LEARN
11 IMAGE SEGMENTATION
12 OBJECT DETECTION
13 TIMESERIES FORECASTING
14 TEXT CLASSIFICATION
15 LANGUAGE MODELS AND THE TRANSFORMER
16 TEXT GENERATION
17 IMAGE GENERATION
18 BEST PRACTICES FOR THE REAL WORLD
19 THE FUTURE OF AI
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
