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- 85% Complete Guide to TensorFlow for Deep Learning with Python

Complete Guide to TensorFlow for Deep Learning with Python

$18.99Track price

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8.4/10 (Our Score)
Product is rated as #148 in category Machine Learning

Welcome to the Complete Guide to TensorFlow for Deep Learning with Python!

This course will guide you through how to use Google’s TensorFlow framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google’s TensorFlow framework in a way that is easy to understand. Other courses and tutorials have tended to stay away from pure tensorflow and instead use abstractions that give the user less control. Here we present a course that finally serves as a complete guide to using the TensorFlow framework as intended, while showing you the latest techniques available in deep learning!

This course is designed to balance theory and practical implementation, with complete jupyter notebook guides of code and easy to reference slides and notes. We also have plenty of exercises to test your new skills along the way!

This course covers a variety of topics, including

There are many Deep Learning Frameworks out there, so why use TensorFlow?

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

Instructor Details

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.

Specification: Complete Guide to TensorFlow for Deep Learning with Python

Duration

14 hours

Year

2020

Level

Intermediate

Certificate

Yes

Quizzes

No

23 reviews for Complete Guide to TensorFlow for Deep Learning with Python

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  1. Xavier Xicota

    It’s always clear

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  2. Qays Gafer Yousef Shrea

    Thanks

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  3. Vijay Jadhav

    Good pace for students with some prior knowledge of python. Not for beginners.

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  4. Murali Pinnaka

    Very detailed course covering the fundamentals, concepts through execution of Nueral networks. Interesting and very useful.

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  5. Mohammed Ba Salem

    Thank you Jose of this useful course, it really explains a lot of concepts in using TensorFlow for Deep Learning. I would recommend adding a section talking about hypertunning parameters for models. Thank you again!

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  6. Om Dahal

    none

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  7. David Nardino

    Great class. Learning a lot. Good pace to understand the content.

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  8. J J

    Excellent so far. Unusually well explained.

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  9. Miguel Cort s

    hasta ahora no ha contado nada nuevo que no se vea en su Bootcamp principal

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  10. Matt Haywood

    This is good so far!

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  11. Carlos Fernando Infante

    He seems like he is going to be a great professor

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  12. Bhavin Patolia

    Excellent course with good examples.

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  13. Christoph Brucksch

    So far we are not doing any interesting stuff… maybe it will become more interesting soon

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  14. Suvam Mondal

    This is a outdated course. Tensorflow has been upgraded unlike this course

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  15. Sangeetha Sahu

    I liked the course and its content. Do understand that this course needs a pre qualification or atleast familiarity with the technical language. I come with a business background, so for me to come to speed i may have a needed a beginner’s, intermediate and an advanced learning curriculum. But i love the instructors narration flow and technical expertise of flowing through the content. Thank you!!

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  16. M Sai Vikramadithya

    Not satisfied! The manual creation of neural network is not explained properly!

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  17. Morgan Maher

    I’ve been very happy with the courses from Jose.

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  18. Kishore Kumar R

    Excellent contents and informative course for Deep learning..

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  19. Vasco

    Missing visualisations /graphs for the more visual learners such as myself. Otherwise it was very straight forward.

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  20. Tej Narayan Yadav

    awesome

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  21. Dimitrios Pritsos

    Excellent course but requires heavy update! Since the API now is TF2 and the Course is way back to TF1 (1.3) which is significantly different.

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  22. Richa Namballa

    Good course for nitty gritty TensorFlow. I think some concepts were rushed through, so when it gets to the coding part, it’s unclear why certain lines of code were written. Overall, I did learn a lot, but it’s unlikely I will use these types of implementations in my actual work.

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  23. Raghu Nandan

    Just laid out the course content will know the quality latter

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    Complete Guide to TensorFlow for Deep Learning with Python
    Complete Guide to TensorFlow for Deep Learning with Python

    $18.99

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