अभ्यास • Week 17

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Weekly Production Deliverable

Target Output

Deliverable: Sliding Window/2 Pointer done. You've built a working autograd engine from scratch and understand exactly what .backward() does under the hood in PyTorch.

Weeks: W16 W17 Active W18 W19 W20

Monday

0 / 2 done

DSA Sliding Window/2 Pointer theory; Max Points You Can Obtain from Cards

1.5h

AI/ML Karpathy's micrograd Part 1

Andrej Karpathy — "The spelled-out intro to neural networks and backpropagation: building micrograd" ([YouTube]open_in_new): Build the scalar Value object, implement forward addition and multiplication

2.5h

Tuesday

0 / 2 done

DSA Longest Substring Without Repeating Characters

1.5h

CORE Network Layer & IPv4 Addressing

IPv4 Datagram format, Classful Addressing (Class A, B, C, D, E), Classless Inter-Domain Routing (CIDR), Subnetting & Supernetting math, Subnet Mask calculation + Quiz

2.5h

Wednesday

0 / 2 done

DSA Max Consecutive Ones III; Fruit Into Baskets

1.5h

AI/ML Karpathy's micrograd Part 2

Build the autograd graph: Directed Acyclic Graph (DAG) construction, topological sort, backpropagating gradients via chain rule across all operations

2.5h

Thursday

0 / 2 done

DSA Longest Substring With At Most K Distinct Characters; Longest Repeating Character Replacement

1.5h

CORE Network Layer Protocols & NAT

Private vs Public IP, NAT (SNAT, DNAT, Port Forwarding), NAT Limitations, IPv6 structure & IPv6 over IPv4 tunneling, Router vs Forwarding, Static vs Dynamic Routing, Hybrid Routing & EIGRP + Quiz

2.5h

Friday

0 / 2 done

DSA Minimum Window Substring

1.5h

AI/ML Karpathy's micrograd Part 3 & DL Scratch Code

Build Neuron, Layer, and Multi-Layer Perceptron (MLP) on top of Value; write loss function and gradient descent training loop on a toy dataset + push code to GitHub with README

2.5h

⚡ Weekend High-Load Execution • 8.0h Daily Deep Focus Lab

Saturday

0 / 3 done

DSA Number of Substrings Containing All Three Characters; Binary Subarrays With Sum

1.5h

AI/ML PyTorch Tensors & Custom Modules Lab (4.0h)

Port micrograd MLP to PyTorch; explore torch.nn.Module, autograd engine, DataLoader, and cross-entropy loss.

4.0h

APT Quant M17 & Verbal/Logical

Quant M17 Mensuration 2D (Basic & Advance) + Verbal/Logical Mixed Practice

2.5h

Sunday

0 / 3 done

DSA Count Number of Nice Subarrays + Contest + revision

1.5h

AI/ML Andrew Ng Deep Learning Specialization Sprint (4.0h)

Complete Coursera DL Spec Course 1 & 2 quizzes; implement gradient checking and momentum optimizer in PyTorch.

4.0h

APT Routing Algorithms

Distance Vector Routing (RIP, Count to Infinity problem), Link State Routing (OSPF, Dijkstra), Border Gateway Protocol (BGP), Static vs Dynamic Routing

2.5h

edit_note

Week 17 Technical Notes & Journal

#LeetCode #Java #DSA #Week17