Foundations of Deep Learning: Representations, Optimisation, and Generalisation
A practical explanation of the core foundations behind deep learning systems.
A practical explanation of the core foundations behind deep learning systems.
A practical foundation article explaining representation learning, optimisation, capacity, overfitting, and generalisation in deep learning.
Add pytest and Ruff to a small Python project inside WSL with a reusable pyproject.toml configuration.
A practical study path for engineers learning deep learning, based on the structure of Deep Learning by Goodfellow, Bengio, and Courville.
Choose a practical first local language model by checking memory, precision, context length, and runtime support.
A detailed operating model for cloud governance teams running secure, repeatable enterprise Azure platforms.
Export ADFS relying-party claim rules, compare a proposed change, and keep a timestamped rollback file.
A practical design guide for managing Azure Policy definitions, initiatives, assignments, exemptions, and remediation workflows as code with Terraform.
Inspect, map, remap, and remove persistent Windows network drives with PowerShell.
A practical design guide for Azure identity, RBAC, privileged access, break-glass access, and role governance in platform engineering.