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).
রিতার হাসি, কথা, চালচলন—সবই মুগ্ধ করার মতো। কিন্তু শহরে কিছু লোক তার বিরুদ্ধে নানা কথা বলে। "চরিত্রহীন মেয়ে!"—এমন কথাও শোনা যায়।
This is a wonderful task to be done… I'm all in