Earned Deep-ML Badges - Attention Is All You Need & ResNet

Created on January 27, 2026

2026   ·   deep-learning   certifications   machine-learning   ·   achievements

I’m excited to share that I’ve earned two badges from Deep-ML, a platform focused on deep learning problem-solving!

🏆 Certifications Earned

Attention Is All You Need Badge

Successfully completed all problems in the Attention Is All You Need collection, covering the foundational concepts of the Transformer architecture that revolutionized NLP and beyond.

  • Issued: January 27, 2026
  • Credential ID: DMLBADGE-ATTENTIONISALLYOUNEED-mkvyjfa5
  • Verify: View Credential

ResNet Badge

Successfully completed all problems in the ResNet collection, mastering residual learning and skip connections that enabled training of very deep neural networks.

  • Issued: January 27, 2026
  • Credential ID: DMLBADGE-RESNET-mkvzwgo0
  • Verify: View Credential

Why These Matter

Both Transformers and ResNet are foundational architectures in modern deep learning:

  • Transformers power state-of-the-art models in NLP (BERT, GPT), computer vision (ViT), and even speech recognition (like the ASR models I work on at Samsung).
  • ResNet introduced residual connections that solved the vanishing gradient problem, enabling networks with hundreds of layers to be trained effectively.

These hands-on problem collections helped reinforce my understanding of the underlying mechanics—from self-attention mechanisms to skip connections.

What’s Next?

I’m looking forward to tackling more Deep-ML collections and continuing to deepen my practical understanding of deep learning architectures. Stay tuned for more updates!