Deep Learning with PyTorch Overview of Tensors











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Deep Learning with PyTorch is an online full course offering a practical and coding-focused introduction to deep learning using the PyTorch framework. • Complete Deep Learning with PyTorch Playlist :    • Deep Learning with PyTorch   • Videos/sessions are uploaded in timely manner. • Watch live hands-on tutorials on YouTube • Train models on GCP using Google Colab. • Build an end-to-end real-world course project • 1.2. Overview of Tensors • This tutorial provides an overview of Tensors where we typically understand how to create tensors, using different tensor methods and attributes, tensors-numpy arrays interoperability, reading image data to tensors etc. • Time Breaks: • 00:00 Overview of Tensors • 04:56 Creating Tensors, tensor methods and attributes • 12:48 Tensor - NumPy array interoperability • 15:37 Reading Gray scale and color images as tensors • Topics covered in this video: • ⌨️ Overview and importance of Tensors. • ⌨️ Creating 0d, 1d, 2d, 3d tensors. Using different methods and attributes of a tensor object. • ⌨️ Tensor and NumPy array interoperability. Why use tensors over NumPy arrays. • ⌨️ Reading gray scale and color images as tensors. • Resources: • 🔗 Code : https://github.com/mohangollapalli/dl... • -- • Learn Data Science the right way at https://www.simplifiedailabs.com/ • Subscribe for new videos on AI and ML ‪@SimplifiedAICourse‬

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