KnowledgeCorridor

CPU 3: How Control Unit in CPU Works?

Deep Learning 8: Gradient Descent vs Stochastic Gradient Descent vs Mini-Batch Gradient Descent

CPU 2: Transistor How it Works? and How it forms Logic Gates?

CPU 1: Introduction to CPU and its Parts

Deep Learning 7: Backpropagation in Neural Network with Python Implementation from Scratch

Deep learning 6: Forward Propagation in Neural Network with Python Scratch Implementation

Deep Learning 5: How to Implement Artificial Neural Network of Your own from Scratch in Python

Deep Learning 4: Gradient Descent Algorithm for Single Neuron Training

Deep Learning 3: Training Single Neuron with Backpropagation

Deep Learning 2: Backpropagation with Python Implementation

Deep Learning 1

Excel Count and Sum formulae: Variants of sum and count formulae

#shorts Build Max Heap

Heap Data Structure #2: Max Heapify Function, Building Max-heap from an Array

Heap Data Structure #1: Nature of Heap, Heap Types and Construction of Heap

Memory Management #3: Static Allocation and Overlay in Operating System with Internal Fragmentation

Probability Theory #6 (Conditional Probability)

Memory Management in Operating System: Physical Address vs Logical Address

Memory Management in Operating System #:1 Compile Time, Load Time and Run Time Binding

Probability Theory #5 : Laws of Probability with Examples

Probability Theory #4 : Some numerical examples of finding probability

Probability Theory #3 (Definitions of Probability: Classical, Empirical, Axiomatic and Subjective)

Probability Theory #2

Probability Theory #1

String Class

LINDO Tutorial#2: Modelling Statements GIN, INT, FREE, SUB, SLB

LINDO Tutorial #1

Lecture12: Mailing, Review and View Tabs

Lecture 11: Layout and References Tabs

lecture10: Design and Layout Tab of MS-Word