अभ्यास • Week 18

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Weekly Production Deliverable

Target Output

Deliverable: Stack/Queue (Implementation + Monotonic) done. You understand how deep networks are actually trained in practice — not just the forward pass.

Weeks: W16 W17 W18 Active W19 W20

Monday

0 / 2 done

DSA Implementation using different DS; Stack using Arrays; Queue using Arrays

1.5h

AI/ML Deep Neural Networks Theory

Andrew Ng Deep Learning Specialization Course 1: Neural Networks & Deep Learning (Weeks 3–4: Deep L-layer neural networks, forward and backward propagation matrix equations)

2.5h

Tuesday

0 / 2 done

DSA Stack using Queue; Queue using Stack

1.5h

CORE Transport Layer Fundamentals & UDP

Transport layer duties, Port numbers, Sockets, Multiplexing/Demultiplexing, User Datagram Protocol (UDP) header, characteristics & use cases + Quiz

2.5h

Wednesday

0 / 2 done

DSA Stack using LinkedList; Queue using LinkedList; Balanced Parenthesis

1.5h

AI/ML Optimization Algorithms

Andrew Ng DL Spec Course 2: Improving Deep Neural Networks (Week 2: Mini-batch gradient descent, Exponentially Weighted Averages, Momentum, RMSprop, Adam optimizer, Learning Rate Decay)

2.5h

Thursday

0 / 2 done

DSA Next Greater Element; Next Greater Element

1.5h

CORE Transmission Control Protocol (TCP) Deep Dive

TCP Features, TCP Segment Header, 3-Way Handshake connection establishment, Sequence & Acknowledgement numbering, Reliable transmission & Retransmission timers

2.5h

Friday

0 / 2 done

DSA Asteroid Collision

1.5h

AI/ML Regularization & Hands-on PyTorch

Andrew Ng DL Spec Course 2 (Weeks 1 & 3: L2 regularization/weight decay, Dropout, Batch Normalization) + StatQuest: "Batch Normalization" & "Dropout" + build and train a feedforward NN in PyTorch on Fashion-MNIST

2.5h

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

Saturday

0 / 3 done

DSA Sum of Subarray Minimums; Sum of Subarray Ranges

1.5h

AI/ML CNN Architecture & Convolutions from Scratch (4.0h)

Code 2D convolution and max-pooling operations in NumPy; visualize edge-detection filters and feature maps.

4.0h

APT Quant M18 & Verbal/Logical

Quant M18 Trigonometry & Height/Distances (Basic & Advance) + Verbal/Logical Mixed Practice

2.5h

Sunday

0 / 3 done

DSA Remove K Digits + revision

1.5h

AI/ML PyTorch CNN Image Classifier Project (4.0h)

Build and train a CNN on CIFAR-10 in PyTorch; implement data augmentation (RandomCrop, Flip) and achieve >85% test accuracy.

4.0h

APT TCP Flow & Congestion Control

Sliding Window flow control, TCP Congestion Control (Slow Start, Congestion Avoidance, Fast Retransmit, Fast Recovery), 4-Way FIN connection termination

2.5h

edit_note

Week 18 Technical Notes & Journal

#LeetCode #Java #DSA #Week18