🤖
Machine Learning & Deep Learning
Core ML/DL concepts: supervised and unsupervised learning, neural networks (CNN, RNN/LSTM, GAN, Transformers), training techniques, model optimization, and real-world applications in software engineering and NLP.
Neural Networks Fundamentals
Perceptron, multilayer networks, backpropagation, activation functions (ReLU, sigmoid, tanh), optimizers (SGD, Adam), and universal approximation.
📭
Nu s-au găsit articole
Acest domeniu nu are încă articole.