Deep Learning Applications

Deep Learning Applications. Covers neural network fundamentals, training with backpropagation and gradient descent, and building models with PyTorch and TensorFlow. It goes into computer vision with CNNs, sequence models like RNNs and LSTMs, and transformers, the architecture behind modern language models.