PyTorch Full Course Part 1 — Build Deep Learning Models from Scratch (2025 Tutorial)
This is Part 1 of our PyTorch full course designed to prepare you for real-world software development and machine learning roles in 2025.
In this hands-on tutorial, you'll learn:
✅ What PyTorch is and how it compares to TensorFlow
✅ How to install and configure PyTorch (CPU & GPU)
✅ How to set up your coding environment using Jupyter or VS Code
✅ Core concepts: Tensors, Autograd, and the torch.nn module
✅ How to build and train deep learning models step by step
✅ Loss functions, optimizers, gradient clipping, and schedulers
✅ Working with datasets, DataLoaders, and transforms
✅ Evaluating models with accuracy, precision, recall, and F1 score
✅ Saving, loading, and managing your models the right way
🔥 Whether you're new to deep learning or looking to sharpen your PyTorch skills, this course will help you become job-ready with real project code and best practices.
📌 Stay tuned for Part 2, where we’ll cover transfer learning, advanced models, performance optimization, deployment, and more!
👉 Don’t forget to like, subscribe, and hit the bell icon so you don’t miss future videos!
#PyTorch #MachineLearning #DeepLearning #Python #AI #NeuralNetworks #SoftwareDevelopment #ML2025 #Bit-by-Bit
This is Part 1 of our PyTorch full course designed to prepare you for real-world software development and machine learning roles in 2025.
In this hands-on tutorial, you’ll learn:
✅ What PyTorch is and how it compares to TensorFlow
✅ How to install and configure PyTorch (CPU & GPU)
✅ How to set up your coding environment using Jupyter or VS Code
✅ Core concepts: Tensors, Autograd, and the torch.nn module
✅ How to build and train deep learning models step by step
✅ Loss functions, optimizers, gradient clipping, and schedulers
✅ Working with datasets, DataLoaders, and transforms
✅ Evaluating models with accuracy, precision, recall, and F1 score
✅ Saving, loading, and managing your models the right way
🔥 Whether you’re new to deep learning or looking to sharpen your PyTorch skills, this course will help you become job-ready with real project code and best practices.
📌 Stay tuned for Part 2, where we’ll cover transfer learning, advanced models, performance optimization, deployment, and more!
👉 Don’t forget to like, subscribe, and hit the bell icon so you don’t miss future videos!
#PyTorch #MachineLearning #DeepLearning #Python #AI #NeuralNetworks #SoftwareDevelopment #ML2025 #Bit-by-Bit
