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README.md

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@@ -50,30 +50,35 @@ Developed by **Akshay Anand** as part of PhD research at **Florida State Univers
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This series consists of five interconnected tutorials that guide you from foundational concepts to advanced model deployment:
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1. **Introduction to Tensors**
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- Understanding Tensors
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- Basic Tensor Operations
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- Tensor Manipulation
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2. **Autograd and Automatic Differentiation**
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- Understanding Gradients
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- Computational Graphs
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- Gradient Tracking and Management
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3. **Neural Networks with PyTorch**
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- PyTorch's nn Module
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- Building Neural Network Layers
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- Creating Complete Network Architectures
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4. **Training Models**
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- Loss Functions
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- Optimizers
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- Training Loops
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5. **Saving and Loading Models**
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- Model Serialization
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- Loading Pretrained Models
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- Model Deployment Basics
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### 1. Introduction to Tensors
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- Understanding Tensors
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- Basic Tensor Operations
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- Tensor Manipulation
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- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/anand-me/deep-learning-with-pytorch-tutorials/blob/main/PyTorchTuto_1.ipynb)
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### 2. Autograd and Automatic Differentiation
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- Understanding Gradients
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- Computational Graphs
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- Gradient Tracking and Management
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- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/anand-me/deep-learning-with-pytorch-tutorials/blob/main/PyTorchTuto_2.ipynb)
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### 3. Neural Networks with PyTorch
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- PyTorch's nn Module
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- Building Neural Network Layers
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- Creating Complete Network Architectures
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- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/anand-me/deep-learning-with-pytorch-tutorials/blob/main/PyTorchTuto_3.ipynb)
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### 4. Training Models
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- Loss Functions
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- Optimizers
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- Training Loops
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- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/anand-me/deep-learning-with-pytorch-tutorials/blob/main/PyTorchTuto_4.ipynb)
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### 5. Saving and Loading Models
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- Model Serialization
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- Loading Pretrained Models
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- Model Deployment Basics
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- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/anand-me/deep-learning-with-pytorch-tutorials/blob/main/PyTorchTuto_5.ipynb)
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### 🔍 Each tutorial includes:
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### Option 1: Run on Google Colab (Recommended for beginners)
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Each notebook has a "Open in Colab" button at the top that allows you to run the tutorial in your browser without any local setup.
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Each tutorial has an "Open in Colab" badge that allows you to run it directly in your browser:
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| Tutorial | Open in Colab |
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|----------|---------------|
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| 1. Introduction to Tensors | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/anand-me/deep-learning-with-pytorch-tutorials/blob/main/PyTorchTuto_1.ipynb) |
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| 2. Autograd and Automatic Differentiation | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/anand-me/deep-learning-with-pytorch-tutorials/blob/main/PyTorchTuto_2.ipynb) |
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| 3. Neural Networks with PyTorch | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/anand-me/deep-learning-with-pytorch-tutorials/blob/main/PyTorchTuto_3.ipynb) |
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| 4. Training Models | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/anand-me/deep-learning-with-pytorch-tutorials/blob/main/PyTorchTuto_4.ipynb) |
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| 5. Saving and Loading Models | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/anand-me/deep-learning-with-pytorch-tutorials/blob/main/PyTorchTuto_5.ipynb) |
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Running in Colab gives you:
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- Free GPU/TPU access
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- No local setup required
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- Easy sharing and collaboration
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### Option 2: Local Setup
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