What will you in PyTorch for Deep Learning Bootcamp Course
Understand deep learning principles and how to implement them using PyTorch.
Learn to build, train, and evaluate neural networks from scratch.
Work on real-world datasets like MNIST and CIFAR-10 for classification tasks.
Apply techniques like CNNs, transfer learning, and model optimization.
Explore best practices for deployment and performance monitoring of deep learning models.
Program Overview
Module 1: Introduction to Deep Learning and PyTorch
⏳ 30 minutes
Overview of AI and deep learning workflows.
Installing PyTorch and setting up the development environment.
Module 2: PyTorch Basics and Tensor Operations
⏳ 45 minutes
Understanding tensors, gradients, and automatic differentiation.
Writing basic PyTorch programs and exploring tensor operations.
Module 3: Building Neural Networks
⏳ 60 minutes
Constructing feedforward neural networks.
Using
nn.Moduleand custom model classes in PyTorch.
Module 4: Training and Evaluation Loops
⏳ 60 minutes
Implementing training, validation, and testing loops.
Working with optimizers and loss functions.
Module 5: Convolutional Neural Networks (CNNs)
⏳ 60 minutes
Building CNNs for image classification.
Applying CNNs to MNIST and CIFAR-10 datasets.
Module 6: Transfer Learning and Fine-Tuning
⏳ 60 minutes
Leveraging pre-trained models like ResNet.
Fine-tuning for custom datasets and tasks.
Module 7: Saving, Loading, and Inference
⏳ 45 minutes
Persisting trained models with
torch.save().Performing inference on new data using saved models.
Module 8: End-to-End Project
⏳ 75 minutes
Full model development cycle: data prep, model building, training, and deployment.
Best practices for production-ready AI applications.
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Job Outlook
- High Demand: PyTorch is one of the most popular frameworks in AI development.
- Career Advancement: Strong foundational course for deep learning roles and research.
- Salary Potential: $105K–$170K annually for skilled DL professionals.
- Freelance Opportunities: AI model building for vision, NLP, and custom solutions.
Specification: PyTorch for Deep Learning Bootcamp
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