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ConEmu VS TensorFlow

Compare ConEmu VS TensorFlow and see what are their differences

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ConEmu logo ConEmu

ConEmu-Maximus5 is a full-featured local terminal for Windows devs, admins and users. Get better console window with tabs, splits, Quake style, copy+paste, DosBox and PuTTY integration, and much more.

TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
  • ConEmu Landing page
    Landing page //
    2021-09-22
  • TensorFlow Landing page
    Landing page //
    2023-06-19

ConEmu features and specs

  • Customizability
    ConEmu offers a high degree of customizability, allowing users to tailor the interface, keyboard shortcuts, colors, and behavior to suit their workflow.
  • Tab Management
    The application supports multiple tabs, permitting users to manage various command-line sessions within a single window, enhancing multitasking capabilities.
  • Integrations
    ConEmu can integrate with various shells such as Command Prompt, PowerShell, Git Bash, Cygwin, and more, thus making it a versatile tool for a wide range of needs.
  • Quake-style Mode
    This feature allows users to quickly summon and hide the terminal with a specific key combination, similar to the drop-down console in Quake games.
  • Split View
    ConEmu offers split-view functionality, which allows users to see and interact with multiple terminal panes simultaneously.
  • Portable Mode
    The application can be used in portable mode, enabling users to carry their ConEmu settings and preferences across different machines without installation.

Possible disadvantages of ConEmu

  • Complex Setup
    For new users, the initial configuration can be somewhat complex and may require a steep learning curve to leverage all features effectively.
  • Windows Only
    ConEmu is exclusive to the Windows operating system, limiting its usage for individuals who work across multiple OS platforms.
  • Resource Intensive
    Compared to some lightweight terminal emulators, ConEmu can be more demanding on system resources, which may be a concern for users on lower-end hardware.
  • Occasional Stability Issues
    Some users have reported occasional crashes or instability, particularly when dealing with complex configurations or extensive usage.
  • Lack of Built-in SSH
    Unlike some terminal emulators, ConEmu does not come with built-in SSH capabilities, necessitating the use of third-party tools for SSH sessions.

TensorFlow features and specs

  • Comprehensive Ecosystem
    TensorFlow offers a complete ecosystem for end-to-end machine learning, covering everything from data preprocessing, model building, training, and deployment to production.
  • Community and Support
    TensorFlow boasts a large and active community, as well as extensive documentation and tutorials, making it easier for beginners to learn and experts to get help.
  • Flexibility
    TensorFlow supports a wide range of platforms such as CPUs, GPUs, TPUs, mobile devices, and embedded systems, providing flexibility depending on the user's needs.
  • Integrations
    TensorFlow integrates well with other Google products and services, including Google Cloud, facilitating seamless deployment and scaling.
  • Versatility
    TensorFlow can be used for a wide range of applications from simple neural networks to more complex projects, including deep learning and artificial intelligence research.

Possible disadvantages of TensorFlow

  • Complexity
    TensorFlow can be challenging to learn due to its complexity and the steep learning curve, particularly for beginners.
  • Performance Overhead
    Although TensorFlow is powerful, it can sometimes exhibit performance overhead compared to other, lighter frameworks, leading to longer training times.
  • Verbose Syntax
    The code in TensorFlow tends to be more verbose and less intuitive, which can make writing and debugging code more cumbersome relative to other frameworks like PyTorch.
  • Compatibility Issues
    Frequent updates and changes can lead to compatibility issues, requiring significant effort to keep libraries and dependencies up to date.
  • Mobile Deployment
    While TensorFlow supports mobile deployment, it is less optimized for mobile platforms compared to some other specialized frameworks, leading to potential performance drawbacks.

ConEmu videos

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Development Tools: ConEmu

TensorFlow videos

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What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to ConEmu and TensorFlow)

ConEmu

TensorFlow

SSH
100 100%
SSH
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Server Management
100 100%
Server Management
0% 0
AI
0 0%
AI
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare ConEmu and TensorFlow

ConEmu Reviews

7 Best Free Terminal Emulators For Windows 10/11 in 2022
It is free and open-source software that is built on the popular console emulator known as ConEmu. It is used to add enhancements from clink that provide bash style completion. Moreover, it also presents UNIX capabilities by extending them with PowerShell, MinnTTY, myysgit and Cygwin.
Source: www.securedyou.com
30 best PuTTY alternatives for SSH clients for 2020
Cmder is a straight-forward terminal emulator for Windows. The program runs on Windows and it is a combination of the ConEmu terminal emulation program with a Unix-like scripting language that works on Windows. The terminal emulator doesn’t have any encryption, so it would only be suitable for connections on private networks. The tool also lacks a file transfer system.
Source: www.comparitech.com

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...
Source: www.assemblyai.com

Social recommendations and mentions

Based on our record, ConEmu should be more popular than TensorFlow. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ConEmu mentions (19)

  • Dos Navigator – an orthodox file manager
    The sources for the awesome Dos Navigator are published on Github. An updated fork named Necromancer's Dos Navigator [NDN] can be found here: http://ndn.muxe.com/ An alternative to DN/NDN, that is in active development, is Far Manager: https://www.farmanager.com/ All of them, especially Far, work well in ConEmu (https://conemu.github.io/) or cmder (https://cmder.app/) Maybe interested people or nostalgic ones can... - Source: Hacker News / 7 months ago
  • Any user with Win 7 user + Vim at terminal+airline_with_Powerline_symbols?
    On Windows 7 your best bet is to install a modern terminal emulator like ConEmu: https://conemu.github.io/. Source: almost 2 years ago
  • The amount of times I have accidentally done this...
    On my work system I have local admin but Windows Store is blocked by policy. One of my coworkers over on the DBA team had me install ConEmu which has some nice features similar to to Windows Terminal. Also, Posh-Git is a nice addition to have on top. Source: over 2 years ago
  • Name the tools you can't live without!
    Conemu if your a fan of that quake style terminal and tabbed terminals. Source: over 2 years ago
  • Steps of entering the IT world? Learn Python Or Operating systems first?
    If you do, try out this thing; https://conemu.github.io/. Source: over 2 years ago
View more

TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago
View more

What are some alternatives?

When comparing ConEmu and TensorFlow, you can also consider the following products

MobaXterm - Enhanced terminal for Windows with X11 server, tabbed SSH client, network tools and much more

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

PuTTY - Popular free terminal application. Mostly used as an SSH client.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

GNOME Terminal - GNOME Terminal is a terminal emulator for GNOME desktop.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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