अभ्यास • Week 20

verified_user

Weekly Production Deliverable

Target Output

Deliverable — end of Phase 4 checkpoint:

DSA: Greedy, Sliding Window/2 Pointer, Stack/Queue (Implementation, Monotonic, FAQs), Binary Trees (Theory/Traversals + Medium) — done

Core CS: CN fully done

AI/ML: Deep Learning fundamentals done — you built an autograd engine from scratch (Karpathy micrograd), trained a CNN image classifier, and read your first research paper (ResNet) cover to cover

Aptitude: Quant M16–20 complete

Weeks: W16 W17 W18 W19 W20 Active

Monday

0 / 2 done

DSA Intro to Binary Trees; Inorder Traversal

1.5h

AI/ML Research Paper 1: ResNet

Read the original paper: "Deep Residual Learning for Image Recognition" (He et al., arxiv.org/abs/1512.03385) — understand degradation problem, vanishing gradients, identity shortcut / residual mapping

2.5h

Tuesday

0 / 2 done

DSA Preorder Traversal; Postorder Traversal

1.5h

CORE Wireless Networking, Performance & Security

Wireless Networking (Wi-Fi 802.11 Generations: Wi-Fi 4/5/6/7, WPA/WPA2/WPA3 Handshake, How Wi-Fi avoids Collisions: CSMA/CA Collision Avoidance); Network Performance (BDP, TTFB, Bufferbloat, QoS, Traffic Shaping & Policing); Rate Limiting (Token Bucket, Leaky Bucket); Network Security (AAA Framework, IDPS, Firewalls L3/L4/L7, VPNs, Zero Trust); MPLS + Quiz

2.5h

Wednesday

0 / 2 done

DSA Level Order Traversal; Pre/Post/Inorder in one traversal

1.5h

AI/ML Research Papers 2 & 3: Batch Normalization & Dropout

Read "Batch Normalization: Accelerating Deep Network Training..." (Ioffe & Szegedy, arxiv.org/abs/1502.03167) & "Dropout" (Srivastava et al., JMLR 2014)

2.5h

Thursday

0 / 2 done

DSA Maximum Depth in BT; Check if two trees are identical

1.5h

CORE CN Comprehensive Self-Test & Review

Rapid-fire review across OSI, TCP/IP, Subnetting, Routing, TCP, HTTP, TLS, DNS, Firewalls (CN 100% Complete!)

2.5h

Friday

0 / 2 done

DSA Check for balanced binary tree; Diameter of Binary Tree

1.5h

AI/ML Deep Learning Synthesis & Architecture Drill

Add residual skip connections to your CNN classifier; write Phase 4 synthesis notes explaining backpropagation, autograd, convolutions, and ResNet's residual connection

2.5h

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

Saturday

0 / 3 done

DSA Maximum path sum

1.5h

AI/ML Transfer Learning & Pretrained Models Lab (4.0h)

Fine-tune a pretrained ResNet-18/34 on a custom image dataset using torchvision; freeze backbone layers and train classification head.

4.0h

APT Quant M20 & Verbal/Logical

Quant M20 Logarithms (Basic & Advance) + Verbal/Logical Mixed Practice

2.5h

Sunday

0 / 3 done

DSA Check for symmetrical BTs + revision

1.5h

AI/ML Phase 4 Deep Learning Defense & Self-Test (4.0h)

Explain vanishing/exploding gradients, residual connections, backpropagation chain rule, and receptive fields out loud.

4.0h

APT Full Phase 4 Review & Checkpoint

Full review of Deep Learning fundamentals, Greedy, Sliding Window, Stack/Queue, and CN

2.5h

edit_note

Week 20 Technical Notes & Journal

#LeetCode #Java #DSA #Week20