Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2023 | Simplilearn

This video on What is Deep Learningprovides a fun and simple introduction to its concepts. We learn about where Deep Learning is implemented and move on to how it is different from machine learning and artificial intelligence. We will also look at what neural networks are and how they are trained to recognize digits written by hand. We further look at some popular applications of Deep Learning. So, let’s dive into the world of Deep Learning with this video.

#DeepLearning #WhatIsDeepLearning #DeepLearningTutorial #DeepLearningCourse #DeepLearningExplained #Simplilearn

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.

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. & more

➡️About AI & Machine Learning Bootcamp
The AI and Machine Learning Bootcamp provides Caltech CTME's academic prowess to help you accelerate your data science career. Statistics, Python, Machine Learning, Deep Learning, Natural Language Processing, and Supervised Learning are all included in this AI and Machine Learning Bootcamp.

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- Earn up to 22 CEUs from Caltech CTME
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✅Skills Required
- Statistics
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[SimplilearnOfficial]

Hi everyone, exactly a week ago, we conducted a contest in this video. The answer to the question is given below:
The correct order of working for Neural Network with explanation:
B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated

Explanation: In a neural network, each neuron in one layer is connected to other neurons in the corresponding layers. These connections carry random weights. The weighted sum of the inputs is calculated, and an additional input in the form of bias is added (w * x + b). The result of this is fed to an activation function. Based on a particular threshold value, only those neurons get activated that crosses the threshold value.

We are pleased to announce the 3 lucky winners who got the right answer for our quiz:
1. Divya Maskar
2. Kartik Singhal
3. Michael Ipinolu
Congratulations to all the winners! They've won an Amazon voucher worth INR 500.

[SimplilearnOfficial]

Machine Learning is the Future and yours can begin today. Comment below with you email to get our latest Machine Learning Career Guide. Let your journey begin

[bettybettytsai]

thank you for saving me from my presentation of the English of science and technology course. really

[Poetpoet]

B. The weighted sum of inputs is calculated
A. The Bias is added
D. The result is fed to an activation function
C. Specific Neuron is activated

[nicolelenge]

The order for the neutral network would be B→ A→D→ C. B is first because each neuron had values to it, called a weighted channel, and all these neurons have a unique number associated with it, called bias. Bias is then added to the weighted sum of inputs, meaning A comes after B. D then follows because that result is fed to an activation function. Out of the results fed, specific neurons are activated.

[binniwhereever]

i'm interested in ai, i am happy to find this vidio. After watching the video on deep learning, I was truly amazed by the capabilities of this technology. Deep learning involves training neural networks with multiple layers to process and understand complex data. It's fascinating how these networks can learn from vast amounts of data and make accurate predictions.
One thing that struck me was the concept of feature extraction. Deep learning models can automatically learn relevant features from the data.

[vijayrsagar]

Thank you for the response and providing correct answer. it's enlightening. Keep up.

[bec_Divyansh]

Thanks for the crisp explanation, i understood it completely. Alas, i don't think my current laptop meets the requirements for such heavy work.

[kosephdrums]

"they don't even realize it's a bot on the other side" 🤣 yeah right

[elavarasanrangaraj]

clear understanding. thanks for the video.

[jogindhiran_kj]

Order: BADC
Working of a neural network:
- The weighted sum of the input is calculated
- The bias is added
- The result is fet to an activation function
- Specific neuron is activated

Nice video! It helped me to learn deep learning in 5 minutes

[sandeepdayananda]

Quiz sequence is:

B. Weighted sum of inputs is calculated
A. Bias is added
D. The result is fed to activation function.
C. Specific neuron is activated

[nicolebarbosameirellesnick]

Answer: B-A-D-C. Thank you very much !
Scrolling through the comment section feels like watching an AI learning to comment on a video.

[johnsonbrown]

Very clearly explained. Good Didactic.

[alperulku]

Answer: B-A-D-C. Thank you very much !

[malikbasitmaqsood]

B) The weighted sum of input is calculated
A)The Bias is added
C)The Specific Neuron is added
D)The Result is Feed to an Activation Function

[nashwanadnan]

all options is right
thanks for you it is best explanation about deep learning

[omkashyap]

1. The weighted sum of input is calculated.
2. The bias is added.
3.The result is fed to and activation function.
4.Specific neuron is activated.

It is a good video to differentiate between machine and deep learning.

Thanks ..

[bethelhemlegesse]

The answer is C. Thanks for the video it makes some much sense now. :)

[veerareddydasari]

B)Weighted Sum of inputs is calculated
A)Bias is added
D)Result is fed into activation function
C)Specific Neuron is activated