Pro Deep Learning with TensorFlow 2.0
portes grátis
Pro Deep Learning with TensorFlow 2.0
A Mathematical Approach to Advanced Artificial Intelligence in Python
Pattanayak, Santanu
APress
01/2023
652
Mole
Inglês
9781484289303
15 a 20 dias
1259
Descrição não disponível.
Chapter 1: Mathematical Foundations.- Chapter 2: Introduction to Deep learning Concepts and Tensorflow 2.0.- Chapter 3: Convolutional Neural networks.- Chapter 4: Natural Language Processing.- Chapter 5: Unsupervised Learning with Restricted Boltzmann Machines and Auto-encoders.- Chapter 6: Advanced Neural Networks.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning;Deep Learning;Python;TensorFlow;Convolutional Neural networks;Recurrent Neural Networks;Generative Adversial Networks;Kullback Lieber Divergence;Natural Language Processing;Boltzmann Deep Learning Architectures;Transformers;Auto-Encoders;Jensen Shannon Divergence;Image Processing;Audio Processing;Autoencoders;IPython
Chapter 1: Mathematical Foundations.- Chapter 2: Introduction to Deep learning Concepts and Tensorflow 2.0.- Chapter 3: Convolutional Neural networks.- Chapter 4: Natural Language Processing.- Chapter 5: Unsupervised Learning with Restricted Boltzmann Machines and Auto-encoders.- Chapter 6: Advanced Neural Networks.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Machine Learning;Deep Learning;Python;TensorFlow;Convolutional Neural networks;Recurrent Neural Networks;Generative Adversial Networks;Kullback Lieber Divergence;Natural Language Processing;Boltzmann Deep Learning Architectures;Transformers;Auto-Encoders;Jensen Shannon Divergence;Image Processing;Audio Processing;Autoencoders;IPython
