The book begins with foundational deep learning concepts and guides you through setting up PyTorch. You will learn to manipulate tensors, load data, build models, and understand computer vision with multi-object detection using YOLO to enhance image recognition through transfer learning techniques. You will also analyze generative models with GANs for data augmentation and venture into audio processing with text-to-speech and speech-to-text using TorchAudio. Learn NLP tasks like text classification, summarization, sentiment analysis, and question answering with pre-trained models like BERT. Finally, learn to tackle time series forecasting using RNNs, LSTMs, CNNs, and transformers.
By:
Deepak Gowda Imprint: BPB Publications Dimensions:
Height: 235mm,
Width: 191mm,
ISBN:9789365897258 ISBN 10: 9365897254 Pages: 296 Publication Date:08 April 2025 Audience:
General/trade
,
ELT Advanced
Format:Paperback Publisher's Status: Active
Deepak Gowda is a distinguished engineering leader and hands-on technology geek with over 20 years of experience, including a decade focused on artificial intelligence (AI) and machine learning (ML).