Day 1 — Getting Started with TensorFlow in Python
If you're comfortable with Python and ready to break into machine learning, TensorFlow is a powerful next step — but it can feel overwhelming at first.
That’s why I’m kicking off a new article series with:
“Getting Started with TensorFlow Using Python” – Day 1
📌 No fluff — just the essentials, with clear code examples and practical explanations.
🔍 In this first article, you’ll learn:
• What tensors are and how to use them
• Core TensorFlow operations like reshaping, casting, and matrix multiplication
• How to prep data for ML models (including one-hot encoding)
🧠 This article was inspired in part by the "TensorFlow for Deep Learning" course by ZTM, which helped deepen my understanding and spark this hands-on series.
👉 Read Day 1 here:
https://medium.com/@achinikechigozie22/by-achinike-chigozie-ed4be8b43812
💬 If you’re learning TensorFlow too — what helped you most in the beginning? Drop your favorite resource or tip below ⬇️
Intelligence View
Getting Started with Tensorflow using Python
Day 1 — Getting Started with TensorFlow in Python If you're comfortable with Python and ready to break into machine learning, TensorFlow is a powerful next step — but it can feel overwhelming at first. That’s why I’m kicking off a new artic…
1. Sofort-Triage & Abwehrmaßnahmen
SOC Incident Playbook: Remote Code Execution (RCE) Defense
title: Detect Exploitation - Getting Started with Tensorflow using Python
id: c9bd59bd-ddcf-4eeb-8f0e-fadea09e3ee4
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
- https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-27
logsource:
category: network_connection
product: any
detection:
selection:
CommandLine|contains:
- 'exploit'
condition: selection
falsepositives:
- Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
- attack.initial_accessrule CTI_Threat_Indicator {
meta:
author = "iShareStuff CTI Automated Detection Engine"
date = "2026-09-27"
description = "YARA Signature for "
strings:
$str = "Getting Started with Tensorflo" ascii wide
condition:
any of them
}index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Getting Started with Tensorflow using Py")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - countmessage: "*Getting Started with Tensorflow using Py*"CommonSecurityLog
| where Message has "Getting Started with Tensorflow using Py"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc2. Cyber Threat Intelligence & Forensik
MITRE ATT&CK Matrix Navigator 14 Taktiken
tsecurity.de Cognitive Threat RAG
Analyse für identifizierte Bedrohung auf Basis von Live-CTI (ENISA EUVD): CVSS 0.0 · EPSS 0.0% · CISA KEV: nein. Handlungsableitung aus den verlinkten Hersteller-Quellen.
Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.
- 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
- 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
- 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.