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Deep Learning using TensorFlow and Keras

Deep Learning using TensorFlow and Keras in asansol city

   8822+ satisfied learners

This deep learning course will give you all the knowledge needed to work on deep learning libraries like Keras and TensorFlow. In this training you will learn about what is AI,  ML, explore neural networks, understand deep learning frameworks, and implement various machine learning algorithms using deep networks. You will also explore how different layers in neural networks do data abstraction and feature extraction using deep learning.

  • Deep learning and TensorFlow concepts.
  • Using python with TensorFlow libraries.
  • Working with Convolutional Neural Network (CNN).
  • Recurrent Neural Network (RNN).
  • Working with Keras.
  • Implementing Restricted Boltz-mann Machine (RBM).
This course is suitable for students, developers, data analysts, and statisticians with basic knowledge of computer science, python programming and machine learning.
Industrial
Professional

Course Modules

  • Industrial


    1. Duration - 40 hours
    2. Daily / Weekly Classes
    3. 2 Case Studies & 1 Live Project
    4. Industrial Courses are only for students. You can avail this by producing valid proof of studentship
    5. Download Content
    6. Save 54%

      15000 6900

  • Professional


    1. Duration - 80 hours
    2. Daily / Weekly Classes
    3. 4 Case Studies & 1 Live Project
    4. Professional Courses are for the working professionals / experienced candidates. These courses are conducted on one to one format or in small batches
    5. Download Content
    6. Save 54%

      50000 23000

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Pallabi Das says
"Interesting "
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"Good"
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"Best"
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SUVAM GUPTA says
"Deep Learning & Artificial Neural Network using Python Not present in the above (select course)"
Moubani Hari says
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RABINDU CHOWDHURY says
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MD SOHAIL HUSSAIN says
"Ok"
Ankit Kumar says
"Thank you sir for your valuable time.I have understood many part of the lecture.."
SAYAK CHOWDHURY says
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Rohit Bhattacharje says
"If the duration of the seminar can be extended about 1 hour extra,then that will be beneficial for us "
Sharmila dey says
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Atri Banerjee says
"Provide some more time in this topic. One day 2 hours is not enough."