TensorFlow Toolkit

Downloadable Resources, Instant Access

Lead Process Improvement, transformation, effective use of innovative technology and data and analytics, and leveraging alternative delivery solutions are key areas of focus to drive additional value for your firm.

More Uses of the TensorFlow Toolkit:

  • Collaborate closely with team members on developing systems from prototyping to production level.

  • Collaborate with colleagues to develop analysis methods and algorithms to solve complex computational research problems.

  • Stay abreast of current industry and organization compiler research and communicate key ideas to others at Mythic.

  • Be accountable for developing image Quality Control architecture to ensure the quality and validity of training and real time images.

  • Ensure the effective collection, organization and distribution of data from a variety of data sources.

  • Explore and investigate different model types and techniques to improve Machine Learning performance.

  • Systematize: design and develop Machine Learning predictive models for various business problems using python and TensorFlow.

  • Manage: by converting contracts, unstructured legal language, into structured data, you help clients understand risk and identify opportunities.

  • Ensure you direct; lead research in advanced Artificial intelligence, Machine Learning, and Deep Learning, majorly focusing on the long term research topics.

  • Keep your customers data and money secure by Identifying fraudsters and preventing fraudulent transactions.

  • Lead: formal training in dimensionality reduction, clustering, and sequence classification algorithms.

  • Pilot: successfully implement development processes, coding best practices, and Code Review for Production Environments.

  • Ensure you produce; build quick Proof of Concepts (POC) and project ownership around projects that can demonstrate utilization, value and lead to scalable solutions.

  • Write clean, organized Machine Learning code using standard Software Engineering methodologies.

  • Ensure frequent communication with stakeholders to drive use case development and manage expectations of model limitations.

  • Pilot: design, develop, and integrate software systems and architectures necessary to realize research prototypes.

  • Make sure that your business contributes to research designs, develops prototype implementations, and participates in the preparation of papers describing the research.

  • Coordinate: probabilistic models and bayesian models, machine/Deep Learning, reinforcement learning, and human in the loop online learning.

  • Warrant that your business utilizes creativity and innovation to solve conceptual programming problems raised by cutting edge research.

  • Organize: team oriented, start up mindset, innovative and dynamic environment, which encourages growth and provides opportunities to make an impact.

  • Steer: conduct applied Research and Development in Natural Language Processing, Deep Learning, and Machine Learning.

  • Control: adequate programming knowledge and skills to write clean and reasonable production level codes.

  • Ensure you mastermind; build behavior modeling framework to understand and predict interactions between human and machine.

  • Standardize: conduct advance Exploratory Data Analysis to discover statistically significant patterns and opportunities in your data.

  • Collaborate and knowledge share with internal stakeholders to ensure single source of truth for all data.

  • Apply expert coding skills to platform development projects in partnership with other engineers.

  • Oversee: research, prototype and develop innovative algorithms and solutions for real time object detection, instance segregation and object tracking.

  • Coordinate with Engineering teams on the successful execution of the release of compiler products.

  • Establish: each member of the team is expected to challenge and to be challenged, to create, and to innovate.

  • Develop more usable machine/Deep Learning tools for improving system performance and mobility safety.


Save time, empower your teams and effectively upgrade your processes with access to this practical TensorFlow Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any TensorFlow related project.

Download the Toolkit and in Three Steps you will be guided from idea to implementation results.

The Toolkit contains the following practical and powerful enablers with new and updated TensorFlow specific requirements:

STEP 1: Get your bearings

Start with...

  • The latest quick edition of the TensorFlow Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.

Organized in a Data Driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the…

  • Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation

Then find your goals...

STEP 2: Set concrete goals, tasks, dates and numbers you can track

Featuring 999 new and updated case-based questions, organized into seven core areas of Process Design, this Self-Assessment will help you identify areas in which TensorFlow improvements can be made.

Examples; 10 of the 999 standard requirements:

  1. What prevents you from making the changes you know will make you a more effective TensorFlow leader?

  2. Do your leaders quickly bounce back from setbacks?

  3. What is effective TensorFlow?

  4. How many input/output points does it require?

  5. How do you aggregate measures across priorities?

  6. Have all basic functions of TensorFlow been defined?

  7. Are you able to realize any Cost Savings?

  8. Who is involved with workflow mapping?

  9. How do you hand over TensorFlow context?

  10. How do you govern and fulfill your societal responsibilities?

Complete the self assessment, on your own or with a team in a workshop setting. Use the workbook together with the self assessment requirements spreadsheet:

  • The workbook is the latest in-depth complete edition of the TensorFlow book in PDF containing 994 requirements, which criteria correspond to the criteria in...

Your TensorFlow self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:

  • The Self-Assessment Excel Dashboard; with the TensorFlow Self-Assessment and Scorecard you will develop a clear picture of which TensorFlow areas need attention, which requirements you should focus on and who will be responsible for them:

    • Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix
    • Gives you a professional Dashboard to guide and perform a thorough TensorFlow Self-Assessment
    • Is secure: Ensures offline Data Protection of your Self-Assessment results
    • Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next:


STEP 3: Implement, Track, follow up and revise strategy

The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage TensorFlow projects with the 62 implementation resources:

  • 62 step-by-step TensorFlow Project Management Form Templates covering over 1500 TensorFlow project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Cost Management Plan: Eac -estimate at completion, what is the total job expected to cost?

  2. Activity Cost Estimates: In which phase of the Acquisition Process cycle does source qualifications reside?

  3. Project Scope Statement: Will all TensorFlow project issues be unconditionally tracked through the Issue Resolution process?

  4. Closing Process Group: Did the TensorFlow project team have enough people to execute the TensorFlow project plan?

  5. Source Selection Criteria: What are the guidelines regarding award without considerations?

  6. Scope Management Plan: Are Corrective Actions taken when actual results are substantially different from detailed TensorFlow project plan (variances)?

  7. Initiating Process Group: During which stage of Risk planning are risks prioritized based on probability and impact?

  8. Cost Management Plan: Is your organization certified as a supplier, wholesaler, regular dealer, or manufacturer of corresponding products/supplies?

  9. Procurement Audit: Was a formal review of tenders received undertaken?

  10. Activity Cost Estimates: What procedures are put in place regarding bidding and cost comparisons, if any?

Step-by-step and complete TensorFlow Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

2.0 Planning Process Group:

3.0 Executing Process Group:

  • 3.1 Team Member Status Report
  • 3.2 Change Request
  • 3.3 Change Log
  • 3.4 Decision Log
  • 3.5 Quality Audit
  • 3.6 Team Directory
  • 3.7 Team Operating Agreement
  • 3.8 Team Performance Assessment
  • 3.9 Team Member Performance Assessment
  • 3.10 Issue Log

4.0 Monitoring and Controlling Process Group:

  • 4.1 TensorFlow project Performance Report
  • 4.2 Variance Analysis
  • 4.3 Earned Value Status
  • 4.4 Risk Audit
  • 4.5 Contractor Status Report
  • 4.6 Formal Acceptance

5.0 Closing Process Group:

  • 5.1 Procurement Audit
  • 5.2 Contract Close-Out
  • 5.3 TensorFlow project or Phase Close-Out
  • 5.4 Lessons Learned



With this Three Step process you will have all the tools you need for any TensorFlow project with this in-depth TensorFlow Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose TensorFlow projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices
  • Implement evidence-based best practice strategies aligned with overall goals
  • Integrate recent advances in TensorFlow and put Process Design strategies into practice according to best practice guidelines

Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role; In EVERY company, organization and department.

Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?'

This Toolkit empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make TensorFlow investments work better.

This TensorFlow All-Inclusive Toolkit enables You to be that person.


Includes lifetime updates

Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.