Software Alternatives, Accelerators & Startups
Register | Login

Excel Dashboard School VS TensorFlow

Compare Excel Dashboard School VS TensorFlow and see what are their differences

Momen
Build powerful web apps, and create your custom AI apps, no code needed! featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Excel Dashboard School logo Excel Dashboard School

Free Excel add-ins and tools on Excel Dashboard School. Boost your work productivity and save your time! No trials, 100% power!

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.
  • Excel Dashboard School Landing page
    Landing page //
    2023-09-24

Text Tools and Smart Utilities! Text processing and string manipulations in Excel are not an easy tasks but we’ll help you to simplify string related functions using our add-in.

Feature list:

  • Convert text to uppercase, apply Excel lowercase to your data or convert your text values to proper / title case
  • Delete first or last character from a selected string
  • Delete x characters starting at the nth position
  • Remove spaces, non-printable characters, all line breaks, initial apostrophes
  • Insert text before first, after last character
  • Insert text starting at nth position and much more….
  • Calendar. Quick dates entry to save your time.
  • Drop-down list creator: Create drop-down list in selected cells in seconds
  • Spreadsheet Tools – Effective management for Ranges
  • Data Collector: Consolidate Multiple Worksheets into one Workbook
  • Split Ranges: Split one data table into several different sheets based on the values of the specified column or other criteria.
  • Compare Ranges: Compare two columns or ranges and the output or highlighting of coincidences / differences between them.
  • Clean Ranges: Delete text, formats, notes, hyperlinks, conditional formatting, etc. in selected cells.
  • Screenshot Manager: Create screenshot of selected range and export it into various formats.
  • WorkSheet Manager
  • Perform vary operations (adding, sorting, protecting, etc.) on sheets in current workbook.
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Excel Dashboard School features and specs

  • Comprehensive Learning Resources
    Excel Dashboard School provides a wide range of learning materials, including tutorials, templates, and examples, catering to different skill levels.
  • High-Quality Templates
    The site offers professionally designed templates that are ready to use, saving users time and ensuring a polished appearance.
  • Step-by-Step Tutorials
    Detailed, easy-to-follow tutorials help users build dashboards from scratch, making it easier for beginners to learn.
  • Regular Updates
    The platform frequently updates its content, ensuring users have access to the latest techniques and best practices in dashboard creation.
  • Community Support
    Excel Dashboard School has a community of users where members can share tips, ask questions, and offer support to each other.

Possible disadvantages of Excel Dashboard School

  • Cost
    Some of the resources and templates are behind a paywall, which may not be affordable for all users.
  • Complexity
    Even with tutorials, some users might find advanced dashboard features and functions quite complex and challenging to implement.
  • Limited Free Content
    Although there is free content available, it may be insufficient for users who need comprehensive or specific solutions without purchasing premium resources.
  • User Interface
    The website's interface and navigation could be more intuitive, potentially making it difficult for users to find specific resources or tutorials.
  • Excel Dependency
    Resources and tutorials are primarily focused on Microsoft Excel, limiting applicability for users who prefer or require alternative data analysis tools.

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.

Analysis of Excel Dashboard School

Overall verdict

  • Excel Dashboard School is generally a good resource for learning how to create dashboards in Excel.

Why this product is good

  • It provides a variety of tutorials, templates, and step-by-step guides which are beneficial for both beginners and advanced users looking to enhance their skills in Excel dashboard creation. The resources are practical and focused on real-world scenarios, making it easier for learners to apply their knowledge effectively.

Recommended for

  • Business professionals who need to create detailed reports and dashboards regularly.
  • Data analysts who want to improve their report presentation using Excel.
  • Students seeking to improve their Excel skills for career advancement.
  • Anyone interested in learning how to communicate data insights more effectively through visual representations.

Excel Dashboard School videos

No Excel Dashboard School videos yet. You could help us improve this page by suggesting one.

Add video

TensorFlow videos

+ Add

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 Excel Dashboard School and TensorFlow)

Excel Dashboard School

TensorFlow

Data Dashboard
100 100%
Data Dashboard
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
AI
0 0%
AI
100% 100

User comments

Share your experience with using Excel Dashboard School and TensorFlow. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Excel Dashboard School Reviews

We have no reviews of Excel Dashboard School yet.
Be the first one to post

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, TensorFlow seems to be more popular. It has been mentiond 7 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.

Excel Dashboard School mentions (0)

We have not tracked any mentions of Excel Dashboard School yet. Tracking of Excel Dashboard School recommendations started around Mar 2021.

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: about 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 Excel Dashboard School and TensorFlow, you can also consider the following products

Kutools for Excel - A handy Microsoft Excel add-ins collection to free you from time-consuming operations.

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

KPI Dashboard in Excel - Professional Management KPI Dashboard. Includes trend charts, past year/target comparisons, monthly & cumulative analysis in performance dashboard.

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

ASAP Utilities - ASAP Utilities is a powerful Excel add-in that fills the gaps in Excel.

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

Loading...