What will you in PyTorch for Deep Learning with Python Bootcamp Course
Learn PyTorch from scratch, including tensors, autograd, and model building.
Build and train neural networks for real-world datasets.
Implement CNNs, RNNs, and transfer learning using PyTorch.
Use advanced tools like TensorBoard and deployment strategies.
Complete projects for image classification and time series forecasting.
Program Overview
Module 1: Introduction to PyTorch & Setup
⏳ 30 minutes
Installing PyTorch and environment configuration.
Overview of PyTorch ecosystem and capabilities.
Module 2: PyTorch Fundamentals & Tensors
⏳ 45 minutes
Tensor creation, operations, and broadcasting.
Autograd and dynamic computation graphs in PyTorch.
Module 3: Neural Networks from Scratch
⏳ 60 minutes
Building feedforward neural networks using
torch.nn.Loss functions and optimizers for training.
Module 4: Model Training Workflow
⏳ 60 minutes
Training and evaluation loops.
Using GPU for model acceleration.
Module 5: Convolutional Neural Networks (CNNs)
⏳ 60 minutes
Creating CNNs for image recognition tasks.
Applying CNNs to datasets like MNIST and CIFAR-10.
Module 6: Recurrent Neural Networks (RNNs) & Time Series
⏳ 60 minutes
Building and training RNNs for sequential data.
Use cases in text and time series prediction.
Module 7: Transfer Learning & Pretrained Models
⏳ 45 minutes
Implementing transfer learning with models like ResNet.
Fine-tuning vs. feature extraction.
Module 8: TensorBoard & Model Visualization
⏳ 45 minutes
Tracking metrics and visualizing model architecture.
Using TensorBoard with PyTorch.
Module 9: Saving, Loading & Deployment
⏳ 45 minutes
Saving and loading model checkpoints.
Deployment strategies for inference.
Module 10: Final Projects & Applications
⏳ 75 minutes
Full pipeline projects on image and time-series data.
Best practices and industry insights.
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Job Outlook
High Demand: PyTorch is widely adopted for AI development and research.
Career Advancement: Great for aspiring data scientists and AI engineers.
Salary Potential: $100K–$160K based on deep learning and deployment expertise.
Freelance Opportunities: Real-world applications in computer vision, NLP, and automation.
Specification: PyTorch for Deep Learning with Python Bootcamp
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