Course Syllabus
What you'll learn in the deep learning course
Neural Network Fundamentals
- Perceptrons & backpropagation
- Activation functions & optimizers
- Batch normalisation & dropout
Convolutional Neural Networks
- CNN architecture (VGG, ResNet, EfficientNet)
- Object detection with YOLOv11
- Image segmentation & transfer learning
Recurrent Networks & Sequences
- LSTMs, GRUs for time series
- Seq2Seq models
- Attention mechanisms
Transformer Architecture
- Self-attention & multi-head attention
- BERT, GPT architecture deep dive
- HuggingFace fine-tuning
Computer Vision Projects
- Real-time object detection
- Face recognition system
- Medical image analysis
Deployment & Production
- ONNX & TensorRT optimisation
- FastAPI model serving
- Docker & GPU cloud deployment
Who should join the Deep Learning Course in Jalandhar?
College Students
B.Tech, BCA, MCA students in Jalandhar and Punjab who want computer vision and AI skills before placements.
ML Engineers
Already know basic ML? Deep Learning is the natural next step for CV, NLP, and LLM work.
Researchers
Students doing AI research projects or thesis who need hands-on PyTorch and transformer skills.
Career Switchers
Move into AI roles like Computer Vision Engineer or ML Researcher from software or data roles.
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