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This Deep Learning tutorial will help you in understanding what is Deep Learning, why do we need Deep learning, what is neural network, applications of Deep Learning, what is perceptron, implementing logic gates using perceptron, types of neural networks. At the end of the video, you will get introduced to TensorFlow along with a usecase implementation on recognizing hand-written digits. Deep Learning is inspired by the integral function of the human brain specific to artificial neural networks. These networks, which represent the decision-making process of the brain, use complex algorithms that process data in a non-linear way, learning in an unsupervised manner to make choices based on the input. Deep Learning, on the other hand, uses advanced computing power and special type of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. We will also understand neural networks and how they work in this Deep Learning tutorial video.

Below topics are explained in this Deep Learning Tutorial:
1. What is Deep Learning? ( 03:43 )
2. Why do we need Deep Learning? ( 04:50 )
3. What is Neural network? ( 05:46 )
4. What is Perceptron? ( 07:37 )
5. Implementing logic gates using Perceptron ( 11:58 )
6. Types of Neural networks ( 17:18 )
7. Applications of Deep Learning ( 18:09 )
8. Working of Neural network ( 21:02 )
9. Introduction to TensorFlow ( 34:29 )
10. Use case implementation using TensorFlow ( 39:03 )

Deep Learning Tutorial Part-2: [ Ссылка ]

TensorFlow installation Tutorial: [ Ссылка ]

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#DeepLearning #Datasciencecourse #DataScience #SimplilearnMachineLearning #DeepLearningCourse

We've partnered with Purdue University and collaborated with IBM to offer you the unique Post Graduate Program in AI and Machine Learning. Learn more about it here - [ Ссылка ]

Simplilearn’s Deep Learning course will transform you into an expert in deep learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research.

With Simplilearn’s Deep Learning course, you will prepare for a career as a Deep Learning engineer as you master concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to:

1. Understand the concepts of TensorFlow, its main functions, operations and the execution pipeline
2. Implement deep learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before
3. Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces

We recommend this deep learning online course particularly for the following professionals:
1. Software engineers
2. Data scientists
3. Data analysts
4. Statisticians with an interest in deep learning

Learn more at: [ Ссылка ]

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