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Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work | Simplilearn
. A vlog by the YouTube channel named in the video’s upper left corner and serves as the original blog post for this content.
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This video on “What is a Neural Network” delivers an entertaining and exciting introduction to the concepts of Neural Network. We will learn the different layers present in a Neural Network and understand how these layers process data. We will get an idea of the different parameters used in a Neural Network such as weights, bias, and activation functions. We will also understand how to train a Neural Network using forward propagation and then adjust to the errors in the network using the backpropagation method. This video also covers a few popular Neural Network applications. Now, let us jump straight into learning what is a Neural Network.
0:00 What is a Neural Network?
0:33 How Neural Networks work?
03:43 Neural Network examples
04:21 Quiz
04:52 Neural Network applications
Don’t forget to take the quiz at 04:21
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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 our Deep Learning course, you’ll master Deep Learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks and traverse layers of data abstraction to understand the power of data and prepare you for your new role as Deep Learning scientist.
Why Deep Learning?
It is one of the most popular software platforms used for Deep Learning and contains powerful tools to help you build and implement artificial neural networks.
Advancements in Deep Learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change.
You can gain in-depth knowledge of Deep Learning by taking our Deep Learning certification training course. 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
4. Build Deep Learning models in TensorFlow and interpret the results
We recommend this Deep Learning online course particularly for the following professionals:
1. Software engineers
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Note from Zennie62Media and OaklandNewsNow.com : this video-blog post demonstrates the full and live operation of the latest updated version of an experimental Zennie62Media , Inc. mobile media video-blogging system network that was launched June 2018. This is a major part of Zennie62Media , Inc.’s new and innovative approach to the production of news media. What we call “The Third Wave of Media”. The uploaded video is from a YouTube channel. When the video is “liked” by Zennie62 YouTube, then it is automatically uploaded to and formatted automatically at the Oakland News Now site and Zennie62-created and owned social media pages. The overall objective here, on top of our is smartphone-enabled, real-time, on the scene reporting of news, interviews, observations, and happenings anywhere in the World and within seconds and not hours – is the use of the existing YouTube social graph on any subject in the World. Now, news is reported with a smartphone and also by promoting current content on YouTube: no heavy and expensive cameras or even a laptop are necessary, or having a camera crew to shoot what is already on YouTube. The secondary objective is faster, and very inexpensive media content news production and distribution. We have found there is a disconnect between post length and time to product and revenue generated. With this, the problem is far less, though by no means solved. Zennie62Media is constantly working to improve the system network coding and seeks interested content and media technology partners.