Synopsis
Deep Learning with Keras
This book will introduce you to various supervised and unsupervised deep learning algorithms like the multilayer perceptron, linear regression and other more advanced deep convolutional and recurrent neural networks. You will also learn about image processing, handwritten recognition, object recognition and much more.
Furthermore, you will get familiar with recurrent neural networks like LSTM and GAN as you explore processing sequence data like time series, text, and audio.
The book will definitely be your best companion on this great deep learning journey with Keras introducing you to the basics you need to know in order to take next steps and learn more advanced deep neural networks.
Here Is a Preview of What You’ll Learn Here…
- The difference between deep learning and machine learning
- Deep neural networks
- Convolutional neural networks
- Building deep learning models with Keras
- Multi-layer perceptron network models
- Activation functions
- Handwritten recognition using MNIST
- Solving multi-class classification problems
- Recurrent neural networks and sequence classification
- And much more...
Get this book NOW and learn more about Deep Learning with Keras!
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
Deep Learning with Keras
This book will introduce you to various supervised and unsupervised deep learning algorithms like the multilayer perceptron, linear regression and other more advanced deep convolutional and recurrent neural networks. You will also learn about image processing, handwritten recognition, object recognition and much more.
Furthermore, you will get familiar with recurrent neural networks like LSTM and GAN as you explore processing sequence data like time series, text, and audio.
The book will definitely be your best companion on this great deep learning journey with Keras introducing you to the basics you need to know in order to take next steps and learn more advanced deep neural networks.
Here Is a Preview of What You’ll Learn Here...
- The difference between deep learning and machine learning
- Deep neural networks
- Convolutional neural networks
- Building deep learning models with Keras
- Multi-layer perceptron network models
- Activation functions
- Handwritten recognition using MNIST
- Solving multi-class classification problems
- Recurrent neural networks and sequence classification
- And much more...
Get this book NOW and learn more about Deep Learning with Keras!
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.