12 deep learning architectures to study in 2025, by hand✍️

2025 is going to be a busy year. If you only have time to study one deep learning architecture each month, I would recommend the following: 1. January: Multi-Layer Perceptron (MLP) 2. February: Backpropagation 3. March: Autoencoder 4. April: Recurrent Neural Network (RNN) 5. May: Long-Short Term Memory (LSTM) 6. June: Generative Adversarial Network (GAN) 7. July: Residual Network (ResNet) 8. August: Transformer 9. September: Self-Attention 10. October: U-Net 11. November: Reinforcement Learning with Human Feedback (RLHF) 12. December: Contrastive Language-Image Pretraining (CLIP) Of course, there are many more just as worth to be included in this list. I have to make tough choices. 😅

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Keep up the great work Tom. Thank you for posting.

You're welcome!

please update your generation model course in coursera

Please make this a book we beg you