Practical Deep Learning with PyTorch: PyTorch implementation for computer vision, NLP, audio, and language translation (English Edition)
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.
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Practical Deep Learning with PyTorch: PyTorch implementation for computer vision, NLP, audio, and language translation (English Edition)
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.
39.95
In Stock
5
1
Practical Deep Learning with PyTorch: PyTorch implementation for computer vision, NLP, audio, and language translation (English Edition)
288
Practical Deep Learning with PyTorch: PyTorch implementation for computer vision, NLP, audio, and language translation (English Edition)
288
39.95
In Stock
Product Details
| ISBN-13: | 9789365897258 |
|---|---|
| Publisher: | Bpb Publications |
| Publication date: | 04/08/2025 |
| Pages: | 288 |
| Product dimensions: | 7.50(w) x 9.25(h) x 0.60(d) |
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