Multilayer Neural Network in Tensorflow | Python | Deep Learning | Perceptron | Machine Learning




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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.

SOURCE CODE: https://github.com/nikhilroxtomar/XOR-gate-using-Tensorflow

Semantic Segmentation: https://www.youtube.com/playlist?list=PLHYn9gDxQOpiJOv-9XktL0SaS4Os7Yua2

Deep Learning with MNIST: https://www.youtube.com/playlist?list=PLHYn9gDxQOpgQc9gRmeUPChX536wVO3ns

Introduction to TensorFlow: https://www.youtube.com/playlist?list=PLHYn9gDxQOpisJoIMv-L2awUGBf7oH1qF

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Comment List

  • Idiot Developer
    December 29, 2020

    Sir why you are not making the latest videos of deep learning

  • Idiot Developer
    December 29, 2020

    1) what is the need for the tf.reduce_mean? Can u elaborate on the log function?
    2) What is cost function for?
    3) Optimiser – What is this for?
    I believe these things need to be explained well in case this video is for beginner…

  • Idiot Developer
    December 29, 2020

    what you are doing in tf.reduce_mean?

  • Idiot Developer
    December 29, 2020

    Just wait a moment, JUST WAIT A MOMENT.

  • Idiot Developer
    December 29, 2020

    i dont understand the dataset could you please explain, yo uare sending arrays of 2 numbers? and the y_data is just one? dont understand that.

  • Idiot Developer
    December 29, 2020

    how to test my data with trained weights? your code is very clear.

  • Idiot Developer
    December 29, 2020

    Thanks for the vid

  • Idiot Developer
    December 29, 2020

    Sorry to say but very poor explanation

  • Idiot Developer
    December 29, 2020

    This is confusing, please tell people how to correctly train a neural network…You know what I mean

  • Idiot Developer
    December 29, 2020

    Why didn't you split the data for training and testing? Of course it will be 100%. The algorithm basically memorized the inputs and their corresponding outputs and spat it out.

  • Idiot Developer
    December 29, 2020

    tf.equal(tf.floor(hy + 0.5), Y) , don't understand this line

  • Idiot Developer
    December 29, 2020

    which IDE do are you using?

  • Idiot Developer
    December 29, 2020

    great video..kindly upload the code…

  • Idiot Developer
    December 29, 2020

    please make some more tensorflow vids

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