I made a 2025 calendar, featuring 12 key deep learning architectures I drew and calculated 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)
Some of you may notice CNN is missing. The reason is that I haven't managed to calculate it by hand yet. I hope I can do it in 2025.
I asked my wife which is her favorite. She said RNN. I asked why. She said "because it is most colorful!"
I asked my 7-year old the same question. He said CLIP. I asked why. He said "because it is most colorful!"
😄 Same reason but different answer!
Which is your favorite?
If you want a copy for yourself or gift it to someone, it is now available (USA only).
This is a wonderful task to be done… I'm all in