TensorFlow Tutorial | Deep Learning Using TensorFlow | TensorFlow Tutorial Python | Edureka




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** Flat 20% Off (Use Code: YOUTUBE) TensorFlow Training – https://www.edureka.co/ai-deep-learning-with-tensorflow **
This Edureka TensorFlow Tutorial video (Blog: https://goo.gl/4zxMfU) will help you in understanding various important basics of TensorFlow. It also includes a use-case in which we will create a model that will differentiate between a rock and a mine using TensorFlow.

Below are the topics covered in this tutorial:

1. What are Tensors?
2. What is TensorFlow?
3. TensorFlow Code-basics
4. Graph Visualization
5. TensorFlow Data structures
6. Use-Case Naval Mine Identifier (NMI)

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Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE

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How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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About the Course
Edureka’s Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

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Who should go for this course?

The following professionals can go for this course:

1. Developers aspiring to be a ‘Data Scientist’

2. Analytics Managers who are leading a team of analysts

3. Business Analysts who want to understand Deep Learning (ML) Techniques

4. Information Architects who want to gain expertise in Predictive Analytics

5. Professionals who want to captivate and analyze Big Data

6. Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.

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Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.

Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world.

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Comment List

  • edureka!
    November 14, 2020

    Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Tensorflow Course curriculum, Visit our Website: http://bit.ly/2r6pJuI

  • edureka!
    November 14, 2020

    hi could you please provide me the link to data set and code

  • edureka!
    November 14, 2020

    Thank you for such a wonderful explanation.

  • edureka!
    November 14, 2020

    Heyy !! I found it interesting please share code and data ..

  • edureka!
    November 14, 2020

    can i have the data set and code? thank you very much, great tutorial!

  • edureka!
    November 14, 2020

    Very much helpful!!! Can plz you provide code?

  • edureka!
    November 14, 2020

    Fantastic!! You made it so interesting. Thank you!!

  • edureka!
    November 14, 2020

    Please provide me the dataset and code… Please.. Thanks

  • edureka!
    November 14, 2020

    Amazing tutorial!

  • edureka!
    November 14, 2020

    Can I get the code and the dataset

  • edureka!
    November 14, 2020

    COOL COURSE, CAN YOU SHARE ME THE CODE

  • edureka!
    November 14, 2020

    Helo sir. could you please help me in installation of tensorflow. I have checked on many websites, i am not getting solution anywhere. I am getting error unable to load native tensorflow libraries. Please help me in this regard.

  • edureka!
    November 14, 2020

    very good !

  • edureka!
    November 14, 2020

    Hi fantastic job! I’d be interested in the code and data set. Thank you

  • edureka!
    November 14, 2020

    May i get the dataset and code..?

  • edureka!
    November 14, 2020

    Bro,
    Excellent work.
    #Thank you

    #Bhai ekdum Badhiya samjaya…

  • edureka!
    November 14, 2020

    value for time thanks edureka!!!

  • edureka!
    November 14, 2020

    Do you provide code somewhere?

  • edureka!
    November 14, 2020

    Wow a clear and good Tutorial thank you

  • edureka!
    November 14, 2020

    Thank you, sir! Can you give us the code and the dataset??

  • edureka!
    November 14, 2020

    Thank you for the explanations,
    Where i can find the lecture slides?

  • edureka!
    November 14, 2020

    Please provide the data and code for the same. Thanks.

  • edureka!
    November 14, 2020

    We saw that the model predicts wrong two times, how can we get 100% accuracy, cuz you know it's about life depending on a machine, if machine says that it's a rock instead of a mine then you know what will happen, so how can we achive 100%

  • edureka!
    November 14, 2020

    Great video that! Highly recommended for begginers!

  • edureka!
    November 14, 2020

    Very interesting ! very inspiring ..Please provide me the code and Data set

  • edureka!
    November 14, 2020

    Can you provide code please

  • edureka!
    November 14, 2020

    Can you provide the code?

  • edureka!
    November 14, 2020

    Thanks a lot for the tutorial, I really learn something as a new player to tf

  • edureka!
    November 14, 2020

    I need dataset and Code

  • edureka!
    November 14, 2020

    Good tutorial, but the jump in complexity from first use cases to the example was a bit too extreme.

  • edureka!
    November 14, 2020

    i need the code and data sheet

  • edureka!
    November 14, 2020

    Thank u so much for your kind explaination …

  • edureka!
    November 14, 2020

    Can I have access to the data set please?

  • edureka!
    November 14, 2020

    Amazing explanation!!

  • edureka!
    November 14, 2020

    So amazing it makes sense now. You are such a great teacher. Thank you

  • edureka!
    November 14, 2020

    A really really good tutorial. I implemented my first research paper after watching this. I recommend everyone who asks to watch this tutorial.

  • edureka!
    November 14, 2020

    Simple and effective tutorial!

  • edureka!
    November 14, 2020

    How can i get the dataset??

  • edureka!
    November 14, 2020

    Excellent tutorial with clear cut explanation and sharing required subject. Can you please share code and data to my email.

  • edureka!
    November 14, 2020

    Hi edureka!, could you explain how to add regularization and dropout option to this code?

  • edureka!
    November 14, 2020

    Nice tutorial, how to get the dataset and code?

  • edureka!
    November 14, 2020

    I need the code and the dataset

  • edureka!
    November 14, 2020

    Hello
    please how can i got the dataset of this tutorial

  • edureka!
    November 14, 2020

    Awesome tutorial, please give the dataset

  • edureka!
    November 14, 2020

    Can I get data_set and code for the practise purpose ??

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