Pearson Deep Learning (Paperback, M Gopal)

1. Provides readers with the knowledge of building blocks used in deep learning-based solutions 2. Equips learners with the basic domain expertise in applications in image processing, audio signal processing and natural language processing 3. Develops learners’ skills to practice software implementation of various algorithms covered in the text 4. The reader of this book need not be a professional programmer; only a basic knowledge of Python programming is required for beginners.

Deep Learning

2022 5

1. Deep Learning: A Step Forward Toward Artificial Intelligence (AI) 2. Training Deep Learning Networks 3. Convolutional Neural Networks (CNNs) 4. Sequence Modeling using Recurrent Neural Networks (RNNs) 5. Deep Learning for Natural Language Processing 6. Deep Learning Networks in Reinforcement Learning Framework 7. A Gentle Start on Deep Learning Experiments for Selected Applications

Paperback

Pearson

9789356061972

Higher Education and Professional Books