💡 Deep Learning Essentials: CNN, RNN, Transformer, TensorFlow, PyTorch
📌 What is a Tensor?
A Tensor is a multi-dimensional array that represents all types of data in deep learning, from scalars (0D) to matrices (2D) and beyond.
📌 What is TensorFlow?
TensorFlow is a deep learning library in Python, created by Google in 2015, mainly used to build and train neural networks.
- "Tensor" refers to the data structure, and "Flow" refers to the computational graph execution.
- Ideal for large-scale deployment, mobile integration, and TPU optimization.
📌 What is PyTorch?
PyTorch is a deep learning library in Python, developed by Facebook in 2016, mainly used for building and experimenting with neural networks.
- It evolved from the Lua-based Torch framework into Python-based PyTorch.
- Highly intuitive with dynamic graphs, making it ideal for research and prototyping.
📌 Summary: CNN / RNN / Transformer
| Model | Full Name | Key Features |
|---|---|---|
| 🧠 CNN | Convolutional Neural Network | Extracts features from images while preserving spatial structure |
| 🔁 RNN | Recurrent Neural Network | Processes sequential data with memory of previous states |
| ⚡ Transformer | Not an acronym | Uses self-attention to process sequences in parallel |
📌 Why "Convolution" in CNN?
Convolution is the process of sliding a small filter over data (like an image) to detect patterns like edges, corners, or textures.
📌 Real-World Applications of CNN
| Field | Application |
|---|---|
| 🧠 Image Classification | Image classification - cat vs dog, face recognition, disease diagnosis |
| 🎯 Object Detection | Object detection - pedestrian recognition (YOLO, SSD, Faster R-CNN) |
| 🔍 Segmentation | Image segmentation - tumor localization |
| 🧾 OCR | Text and license plate recognition |
| 🎨 Style Transfer | Turning photos into paintings |
| 🔎 Video Analysis | Surveillance, human activity recognition |
| 🧪 Science | Microscope and astronomical imaging |
✍️ Author: ChatGPT
💬 Feel free to leave questions or comments below!
