State-of-the-Art Deep Learning Models in TensorFlow
portes grátis
State-of-the-Art Deep Learning Models in TensorFlow
Modern Machine Learning in the Google Colab Ecosystem
Paper, David
APress
08/2021
374
Mole
Inglês
9781484273401
15 a 20 dias
758
Descrição não disponível.
1. Build TensorFlow Input Pipelines.- 2. Increase the Diversity of your Dataset with Data Augmentation.- 3. TensorFlow Datasets.- 4. Deep Learning with TensorFlow Datasets.- 5. Introduction to Tensor Processing Units.- 6. Simple Transfer Learning with TensorFlow Hub.- 7. Advanced Transfer Learning.- 8. Stacked Autoencoders.- 9. Convolutional and Variational Autoencoders.- 10. Generative Adversarial Networks.- 11. Progressive Growing Generative Adversarial Networks.- 12. Fast Style Transfer.- 13. Object Detection.- 14. An Introduction to Reinforcement Learning.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Google Colab;Colaboratory Cloud;TensorFlow 2.x;Deep Learning Models;Tensors;tf.data API;tf.data Datasets;Data Augmentation;Tensor Processing Unit (TPU);Hands-on Transfer Learning;TensorFlow Datasets;Autoencoders;Generative Adversarial Networks (GENs);Object Detection;Image Detection;Neural Style Transfer;Reinforcement Learning;Python Machine Learning;Deep Learning with TensorFlow;Fast Style Transfer
1. Build TensorFlow Input Pipelines.- 2. Increase the Diversity of your Dataset with Data Augmentation.- 3. TensorFlow Datasets.- 4. Deep Learning with TensorFlow Datasets.- 5. Introduction to Tensor Processing Units.- 6. Simple Transfer Learning with TensorFlow Hub.- 7. Advanced Transfer Learning.- 8. Stacked Autoencoders.- 9. Convolutional and Variational Autoencoders.- 10. Generative Adversarial Networks.- 11. Progressive Growing Generative Adversarial Networks.- 12. Fast Style Transfer.- 13. Object Detection.- 14. An Introduction to Reinforcement Learning.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Google Colab;Colaboratory Cloud;TensorFlow 2.x;Deep Learning Models;Tensors;tf.data API;tf.data Datasets;Data Augmentation;Tensor Processing Unit (TPU);Hands-on Transfer Learning;TensorFlow Datasets;Autoencoders;Generative Adversarial Networks (GENs);Object Detection;Image Detection;Neural Style Transfer;Reinforcement Learning;Python Machine Learning;Deep Learning with TensorFlow;Fast Style Transfer
