Descriptions
PyTorch for Deep Learning Professional Certificate, The PyTorch for Deep Learning Professional Certificate teaches you how to build, train, optimize, and deploy deep learning models using the PyTorch framework. Through three progressively structured courses, you’ll move from the fundamentals of PyTorch and neural networks to advanced architectures and model deployment techniques used in real-world AI systems. You’ll start by learning about tensors, neural networks, and machine learning pipelines, which power deep learning models. Then, you’ll apply these concepts to computer vision and natural language processing by using and improving models found in TorchVision and Hugging Face. In the final course, you’ll explore architectures like Siamese networks, ResNet, DenseNet, and Transformers, and learn how to prepare, export, and optimize models for deployment using ONNX, MLflow, pruning, and quantization. By the end, you’ll have the practical skills to develop, evaluate, and deploy PyTorch models for a wide range of AI applications. Throughout this Professional Certificate, you’ll apply your PyTorch skills to build and refine deep learning models. You’ll be working with computer vision and natural language processing models, which you will build from scratch, and optimize using hyperparameter tuning. You will also use pre-trained models and learn how to improve and adapt them via transfer learning and fine tuning. Later, you’ll work on advanced projects such as text classification and image segmentation, and finish by preparing your trained models for deployment using tools like MLflow and ONNX.
What you’ll learn
- Build and train deep learning models using PyTorch, understanding the core components that power modern AI systems.
- Apply transfer learning and fine-tuning techniques to computer vision and natural language processing tasks.
- Optimize model accuracy, performance, and efficiency for deployment.
Who this course is for
- Aspiring AI engineers and data scientists seeking practical PyTorch skills
- Developers interested in building and deploying deep learning models
- Anyone looking to master computer vision and NLP with PyTorch
Specificatoin of PyTorch for Deep Learning Professional Certificate
- Publisher : Coursera
- Teacher : Laurence Moroney
- Language : English
- Level : Intermediate
- Number of Course : 3
- Duration : 2 months to complete at 10 hours a week
Content of PyTorch for Deep Learning Professional Certificate
Requirements
- Knowledge of Python and DL concepts, like those covered in the Deep Learning Specialization, will help you get the most from this certificate
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Course Resources: Link
Download Links
Downloadly
Course 1 – PyTorch: Fundamentals
Course 2 – PyTorch: Techniques and Ecosystem Tools
Course 3 – PyTorch: Advanced Architectures and Deployment
Rapidgator
Course 1 – PyTorch: Fundamentals
Course 2 – PyTorch: Techniques and Ecosystem Tools
Course 3 – PyTorch: Advanced Architectures and Deployment
Password file(s): www.downloadly.ir
File size
2.86 GB
