3. What practical, hands-on skills and tools will I gain?

You’ll master fundamental and advanced DL architectures:

• Deep Learning Fundamentals: Core math, backpropagation, framework comparisons, basic image classification.
• Computer Vision: CNNs (ResNet, VGG), object detection (YOLO), segmentation (U-Net), and augmentation.
• Natural Language Processing: Word embeddings (Word2Vec, GloVe), RNNs/LSTMs, transformers, and BERT fine-tuning.
• Production Deployment: Model quantization, ONNX conversion, TensorFlow Serving, and performance optimization.