Deep Learning and Reinforcement Learning

Deep Learning and Reinforcement Learning

IntermediatePaidData Science

Issuer

IBM

Issued

2024-05-13

About

This badge earner excels in Deep Learning and Neural Networks, understanding both theory and practical applications. They grasp Back Propagation's mathematical principles and the significance of activation functions. Proficient in training optimization, they prioritize time or accuracy using techniques like optimizers and data shuffling. The earner is adept at Convolutional Neural Networks for image tasks and advanced concepts like transfer learning and RNNs, boosting model performance.

Skills

KerasArtificial Neural NetworkReinforcement LearningPWID-B0928200Machine LearningDeep Learning

Issued by IBM via Credly – May 2024

Credential Verification & Framework

This digital badge represents verified technical competence and successful completion of coursework, hands-on labs, and practical assessments administered by IBM. Micro-credentials issued through Credly contain tamper-proof cryptographic metadata confirming the recipient identity and the specific criteria required for earnability.

As part of Ankur Halder's commitment to continuous professional development, all earned badges are periodically synced and cross-referenced against official learning provider transcripts to maintain an accurate, transparent record of skills across cloud architecture, full-stack engineering, and security practices.

Earning this credential involved rigorous domain evaluation, including demonstrating mastery over industry-standard concepts, applying problem-solving strategies in real-world scenarios, and completing hands-on project milestones. The competencies validated by this badge contribute directly to engineering robust, scalable web applications and maintaining production software reliability.

To verify this credential directly on Credly's official registry, navigate using the button above. Third-party verification platforms provide cryptographic proof of authenticity, issuing timestamps, and detailed learning outcomes mapped to national and international skill standards.

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