Deep learning basics: CNN, RNN introduction
Machine Learning · Engineering
Study notes
Image classification: CNN layers convolve 3x3 filters detecting edges, then shapes; pooling halves size; final dense layers classify. For sentences, RNNs pass hidden state word to word, but forget long range; LSTMs add gates. Transformers replace recurrence with attention, powering modern LLMs.