Deep Learning With Python | Deep Learning Tutorial For Beginners | Learn Deep Learning | Simplilearn


This Deep Learning with Python tutorial will help you understand what is deep learning, applications of deep learning, what is a neural network, biological versus artificial neural networks, activation functions, cost function, how neural networks work, and what gradient descent is. Finally, we’ll code a neural network in Python using TensorFlow.

Below topics are explained in this Deep Learning tutorial:
0:00 Introduction
0:13 Introduction to Deep Learning tutorial
0:53 What is Deep Learning?
01:41 what are artificial neurons
03:01 What is a neural network?
07:46 Activation function
25:02 Introduction to TensorFlow
41:42 Gradient descent

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This Deep Learning course with Tensorflow certification training is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks and implement deep learning algorithms, preparing you for a career as Deep Learning Engineer.

In this Deep Learning course with Keras and Tensorflow certification training, you will become familiar with the language and fundamental concepts of artificial neural networks, PyTorch, autoencoders, and more. Upon completion, you will be able to build deep learning models, interpret results, and build your own deep learning project.

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Comment List

  • Simplilearn
    November 19, 2020

    Got a Question on this topic? Let us know in the comment section below 👇 and we'll have our experts answer it for you. To learn more about Deep Learning, visit:

  • Simplilearn
    November 19, 2020

    Thanks for increasing font.

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