🎨
Creativity8,333💻
Software1,518💻
Coding819🔍
Programming languages126💻
Python96🚀
Python code optimization3
Get alerts
Go to 🎨 Creativity
📷
Images
(2574)
🔠
Text
(1884)
💻
Software
(1518)
🎥
Videos
(780)
🔊
Audio
(597)
🎨
Art
(483)
🎨
Design
(232)
🌪️
Brainstorming
(191)
🖌️
3D
(60)
📸
Multimedia
(9)
GoEnhance
Remini
cre8tiveAI
Unboring
Ceacle tools
So You Want To Be A Writer?
Minka
somacguffin
Ancient AI powered spirits
Cuty
Superfly Stoner
14,742
10,573
7,023
5,632
1,375

135

70

62

51

44

27
Go to 💻 Coding
🔍
Programming languages
(126)
📊
Query languages
(48)
🐞
Debugging
(41)
🔍
Code reviews
(32)
📚
Code documentation
(26)
🖥️
Coding lessons
(26)
🔧
Code optimization
(25)
💻
Vibe coding
(24)
💻
Code snippets
(22)
📚
Code explanations
(20)
🗣
Markup languages
(19)
🔍
Code analysis
(18)
🖥️
Frontend development
(18)
👩💻
Coding mentorship
(17)
🔍
Regex
(17)
🔌
APIs
(13)
💻
Style languages
(9)
🔬
Code testing
(9)
💻
Code formatting
(8)
🖋️
Image to code
(7)
OnSpace.AI - No Code App Builder
Programming Helper
Cursor
CodingFleet
Github Copilot
Devra
Codeium
Emergent
Kilo Code
CodeWP
Phala Cloud
Blackbox
biela.dev
Qodo (Formerly Codium)
Jovu
Warp
Qoder
Refraction
Jit Codes
Zzzcode

57,972
40,639
32,480

29,652
28,511

28,352
26,266
24,676

20,652

19,824

19,365
18,864
17,328
14,735
14,257
14,100
14,076
11,675
11,435
11,200
Go to 💻 Python
🐍
Python learning
(40)
🚀
Python code optimization
(3)
🐍
Python coding lessons
(0)
Python Pro Solver
Zeus Notebook
Python GPT
Python Code Helper
Python Coder
Python Coder
Coder
Python
Python Generator
0 Code Python Bot
Python Samurai
Coding Py Helper
Python Code Expert
PythonGPT
Ultimate Code Generator Python
Python Ai Generator
PythLove
Python coding wizard
Python Coder
Python Programming Assistant

6,404
6,010

3,326

1,399

922

894

864

770

767

702

597

576

562

524

519

516

502

487

463

460
Python code optimization
There are 0 Free AI tools for Python code optimization.
Get alerts
Number of tools
0
▼ State of the art
Free mode
100% free
Freemium
Free Trial
Related Tasks✕
Ask the community(1)
Layan
Nov 22, 2024
model = tf.keras.Sequential([
tf.keras.layers.Dense(32, activation='relu', input_shape=(2,)), # First hidden layer
tf.keras.layers.Dense(16, activation='relu'), # Second hidden layer
tf.keras.layers.Dense(1, activation='sigmoid') # Output layer
])
Reply
Share
Edit
Delete
Report
Post