5# Arange Tensor, Like Tensors | Pytorch
5# Arange Tensor, Like Tensors | Pytorch
Welcome to our PyTorch tutorial series for 2024! PyTorch has evolved significantly over the years, and in this comprehensive tutorial series, we'll guide you through mastering this powerful deep learning framework.
Whether you're a beginner looking to dive into the world of deep learning or an experienced practitioner seeking to enhance your skills, this tutorial series has something for everyone. From the basics of tensors and neural networks to advanced topics like transfer learning and deployment, we cover it all.
GitHub: https://github.com/vishwajeetsinghrana8/Pytorch-Tutorial-Series-2024
Playlist:
https://youtube.com/playlist?list=PLkPmSWtWNIyQ_DoYCUVhHIUXZ1NlA_7ht&si=hc5lIDfmVV-oO73k
Here's what you can expect from this tutorial series:
- **Foundations of PyTorch**: We start with the basics, covering tensors, operations, and gradients, laying a strong foundation for your journey into deep learning with PyTorch.
- **Building Neural Networks**: Learn how to construct and train neural networks using PyTorch's intuitive API, exploring various architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers.
- **Training and Optimization**: Dive into the intricacies of training neural networks, understanding loss functions, optimizers, learning rate schedules, and techniques for improving model performance.
- **Transfer Learning and Fine-Tuning**: Discover how to leverage pre-trained models and transfer learning to solve complex tasks with minimal data, saving time and computational resources.
- **Deployment and Production**: Learn how to deploy your PyTorch models into production environments, whether it's on the cloud, mobile devices, or edge devices, ensuring seamless integration into real-world applications.
Each tutorial is designed to be beginner-friendly yet comprehensive, with hands-on examples and practical exercises to reinforce your learning. Whether you're a student, researcher, or industry professional, this series will equip you with the skills and knowledge needed to excel in the field of deep learning with PyTorch.
Join us on this exciting journey as we unravel the mysteries of PyTorch and empower you to build intelligent systems that push the boundaries of what's possible. Don't forget to like, share, and subscribe to stay updated on the latest tutorials in deep learning and artificial intelligence. Let's embark on this PyTorch adventure together and unlock the full potential of deep learning in 2024!
#python #pytorch #deeplearning #machinelearning #datascience
Видео 5# Arange Tensor, Like Tensors | Pytorch канала Knowledge Shelf
Welcome to our PyTorch tutorial series for 2024! PyTorch has evolved significantly over the years, and in this comprehensive tutorial series, we'll guide you through mastering this powerful deep learning framework.
Whether you're a beginner looking to dive into the world of deep learning or an experienced practitioner seeking to enhance your skills, this tutorial series has something for everyone. From the basics of tensors and neural networks to advanced topics like transfer learning and deployment, we cover it all.
GitHub: https://github.com/vishwajeetsinghrana8/Pytorch-Tutorial-Series-2024
Playlist:
https://youtube.com/playlist?list=PLkPmSWtWNIyQ_DoYCUVhHIUXZ1NlA_7ht&si=hc5lIDfmVV-oO73k
Here's what you can expect from this tutorial series:
- **Foundations of PyTorch**: We start with the basics, covering tensors, operations, and gradients, laying a strong foundation for your journey into deep learning with PyTorch.
- **Building Neural Networks**: Learn how to construct and train neural networks using PyTorch's intuitive API, exploring various architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers.
- **Training and Optimization**: Dive into the intricacies of training neural networks, understanding loss functions, optimizers, learning rate schedules, and techniques for improving model performance.
- **Transfer Learning and Fine-Tuning**: Discover how to leverage pre-trained models and transfer learning to solve complex tasks with minimal data, saving time and computational resources.
- **Deployment and Production**: Learn how to deploy your PyTorch models into production environments, whether it's on the cloud, mobile devices, or edge devices, ensuring seamless integration into real-world applications.
Each tutorial is designed to be beginner-friendly yet comprehensive, with hands-on examples and practical exercises to reinforce your learning. Whether you're a student, researcher, or industry professional, this series will equip you with the skills and knowledge needed to excel in the field of deep learning with PyTorch.
Join us on this exciting journey as we unravel the mysteries of PyTorch and empower you to build intelligent systems that push the boundaries of what's possible. Don't forget to like, share, and subscribe to stay updated on the latest tutorials in deep learning and artificial intelligence. Let's embark on this PyTorch adventure together and unlock the full potential of deep learning in 2024!
#python #pytorch #deeplearning #machinelearning #datascience
Видео 5# Arange Tensor, Like Tensors | Pytorch канала Knowledge Shelf
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