Vai al contenuto principale della pagina
| Autore: |
Basha Niha Kamal
|
| Titolo: |
Deep Learning and Its Applications Using Python
|
| Pubblicazione: | Wiley, 2023 |
| Edizione: | 1st ed. |
| Descrizione fisica: | 1 online resource (255 pages) |
| Disciplina: | 006.3/1 |
| Soggetto topico: | Deep learning (Machine learning) |
| Python (Computer program language) | |
| Altri autori: |
Bhatia KhanSurbhi
KumarAbhishek
MashatArwa
|
| Nota di contenuto: | Chapter 1 Introduction to Deep Learning Chapter 2 Basics of TensorFlow Chapter 3 Understanding and Working with Keras Chapter 4 Multilayer Perceptron Chapter 5 Convolutional Neural Networks in Tensorflow Chapter 6 RNN and LSTM Chapter 7 Developing Chatbot's Face Detection and Recognition Chapter 8 Advanced Deep Learning Chapter 9 Enhanced Convolutional Neural Network Chapter 10 Conclusion EULA |
| Sommario/riassunto: | This book thoroughly explains deep learning models and how to use Python programming to implement them in applications such as NLP, face detection, face recognition, face analysis, and virtual assistance (chatbot, machine translation, etc.). It provides hands-on guidance in using Python for implementing deep learning application models. It also identifies future research directions for deep learning. |
| Titolo autorizzato: | Deep Learning and Its Applications Using Python ![]() |
| ISBN: | 9781394167791 |
| 1394167792 | |
| 9781394167784 | |
| 1394167784 | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911019224503321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |