/courses/machine-learning/sequence-models/Recent content in Sequence Models (RNNs & LSTMs) on DATATWEETSHugoenCopyright (c) 2025 DatatweetsFri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/sequence-models/lesson-1-introduction-to-recurrent-neural-networks/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/sequence-models/lesson-1-introduction-to-recurrent-neural-networks/Discover what sequence data is, why ordinary feedforward networks cannot model order, and how recurrent neural networks add a hidden state that carries memory forward through time. You will meet the running dataset for this module, the monthly S&P 500 index from 1950 to today, and load it with pandas and TensorFlow./courses/machine-learning/sequence-models/lesson-2-basic-rnn-architecture/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/sequence-models/lesson-2-basic-rnn-architecture/Learn how a recurrent neural network actually works: the recurrence relation, unrolling through time, and backpropagation through time. Then build sliding windows from real S&P 500 data, scale them correctly, and train a Keras SimpleRNN to forecast the next month’s price./courses/machine-learning/sequence-models/lesson-3-advanced-rnn-architecture-gru-and-lstm/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/sequence-models/lesson-3-advanced-rnn-architecture-gru-and-lstm/Learn why simple recurrent networks struggle to remember long-range patterns, meet the gated cells that solve it, and see the gate equations for LSTM and GRU. You will build SimpleRNN, GRU, and LSTM forecasters on the real S&P 500 monthly series and compare their test RMSE side by side./courses/machine-learning/sequence-models/lesson-4-adding-convolutional-layers-to-rnns/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/sequence-models/lesson-4-adding-convolutional-layers-to-rnns/Discover how a 1D convolution slides a kernel along a sequence to detect local motifs, why causal padding keeps forecasting honest, and how to build a Conv1D + LSTM hybrid in Keras on real S&P 500 monthly data./courses/machine-learning/sequence-models/lesson-5-time-series-forecasting-with-rnns/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/sequence-models/lesson-5-time-series-forecasting-with-rnns/Turn a single price series into supervised learning pairs, split it the right way through time, scale it without leaking the future, and train an LSTM to forecast the S&P 500 one step ahead. You will evaluate the forecast with RMSE and MAE and learn why financial prediction is genuinely hard./courses/machine-learning/sequence-models/lesson-6-guided-project-forecasting-the-sp-500/Fri, 14 Nov 2025 09:00:00 +0200/courses/machine-learning/sequence-models/lesson-6-guided-project-forecasting-the-sp-500/Bring every piece of this module together in one guided project. You will load real monthly S&P 500 index data, build 12-month windows, split by time, scale, train an LSTM with Keras, evaluate it on a held-out test set, and reason carefully about what the model can and cannot do.