Neural Networks and Deep Learning

Master neural networks and deep learning with our in-depth course. Explore key concepts such as artificial neural networks, convolutional neural networks, recurrent neural networks, and deep learning algorithms. Gain practical skills for building and training neural network models for various applications. This course gives a detailed explanation of Neural Networks for Deep Learning. It covers the mathematical aspects of forward and backward propagation. It also covers shallow and deep neural networks. The hands-on is given using TensorFlow library.

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1. Deep learning Introduction

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2. Concepts in Building a Neural Network

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3. Dot Product

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4. Broadcasting Illustration

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5. Representation of Array Using numpy

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Neural Networks and Deep Learning

  •  Sections: 1  Sub Sections: 5
  •  Total MCQ: 0
  •  Course Duration: 00:00:00
  •  Language: English

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