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PyTorch Training

PyTorch Training

Welcome to the 5-day PyTorch Training program by KONCPT AI. This comprehensive Corporate training course is designed to provide participants with an in-depth understanding of PyTorch, a powerful open-source machine learning library. Through a combination of lectures, hands-on exercises, and real-world applications, you will learn the fundamentals and advanced techniques of using PyTorch for various machine learning and deep learning tasks.

Description

Welcome to the 5-day PyTorch Training program by KONCPT AI. This comprehensive Corporate training course is designed to provide participants with an in-depth understanding of PyTorch, a powerful open-source machine learning library. Through a combination of lectures, hands-on exercises, and real-world applications, you will learn the fundamentals and advanced techniques of using PyTorch for various machine learning and deep learning tasks.

Benefits of Attending This Training

  1. Hands-On Experience: Gain practical experience with hands-on exercises and real-world projects.
  2. Expert Instructors: Learn from industry experts with extensive experience in machine learning and PyTorch.
  3. Comprehensive Curriculum: Cover essential topics from basics to advanced techniques.
  4. Career Advancement: Enhance your skills and improve your job prospects in the field of machine learning and AI.
  5. Networking Opportunities: Connect with like-minded professionals and expand your professional network.
  6. Certification: Receive a certificate of completion, demonstrating your proficiency in PyTorch.

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Course Content


Introduction to PyTorch and Tensors

  1. Overview of PyTorch and its ecosystem
  2. Installing and setting up PyTorch
  3. PyTorch vs. other deep learning frameworks
  4. Understanding tensors and their importance
  5. Tensor operations and basic manipulations
  6. Hands-on exercises: Creating and manipulating tensors
  7. Automatic differentiation with Autograd
  8. Introduction to computational graphs
  9. Basic debugging techniques in PyTorch
  10. Real-world applications of PyTorch

Building Neural Networks with PyTorch

  1. Introduction to neural networks
  2. Building neural networks using PyTorch’s nn.Module
  3. Layers and activation functions
  4. Forward and backward propagation
  5. Training neural networks
  6. Loss functions and optimization algorithms
  7. Hands-on exercises: Building and training a simple neural network
  8. Evaluating and validating models
  9. Regularization techniques
  10. Best practices for building neural networks

Advanced Neural Network Techniques

  1. Convolutional Neural Networks (CNNs)
  2. Building and training CNNs in PyTorch
  3. Transfer learning and fine-tuning pre-trained models
  4. Recurrent Neural Networks (RNNs) and LSTMs
  5. Building and training RNNs and LSTMs in PyTorch
  6. Handling sequential data
  7. Hands-on exercises: Implementing advanced neural network architectures
  8. Techniques for improving model performance
  9. Hyperparameter tuning
  10. Case studies and real-world examples

Working with PyTorch Datasets and DataLoaders

  1. Introduction to PyTorch Datasets and DataLoaders
  2. Loading and preprocessing data
  3. Data augmentation techniques
  4. Building custom datasets
  5. Working with image, text, and sequence data
  6. Hands-on exercises: Creating and using custom datasets
  7. Parallelizing data loading
  8. Managing data pipelines
  9. Best practices for data handling in PyTorch
  10. Use cases for PyTorch Datasets and DataLoaders

Deploying PyTorch Models and Advanced Topics

  1. Saving and loading models
  2. Exporting models with TorchScript
  3. Deploying PyTorch models in production
  4. Integrating PyTorch with other frameworks and libraries
  5. Hands-on exercises: Model deployment and integration
  6. Advanced topics: Quantization, pruning, and distributed training
  7. Monitoring and debugging deployed models
  8. Performance optimization techniques
  9. Future trends and developments in PyTorch
  10. Building a complete machine learning pipeline with PyTorch


Contact us

By the end of this 5-day training program, participants will have a comprehensive understanding of PyTorch and be equipped to build, manage, and optimize machine learning models for various applications. Join us at KONCPT AI to advance your PyTorch skills and unlock new opportunities in the field of AI and machine learning!

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