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From Google’s Self Driving Car to Apple’s Siri, all of these are applications of Deep Learning.
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So, keeping in mind, the importance of deep learning, we have come up with this full course on ‘Deep Learning’.
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The session will cover the following topics:
0)00 – Introduction
2:11 – Installing Python and other IDEs
6:15 – Variables in Python
8:49 – Data Types in Python
11:36 – Operators in Python
17:29 – Python Strings
21:50 – Data Structures in Python
33:32 – Flow Control Statements in Python
51:15 – Python Functions
55:41 – Object Oriented Programming in Python
1:10:23 – Numpy in Python
1:29:05 – Pandas in Python
1:52:02 – Matplotlib in Python
2:16:03 – History behind Deep Neural Networks
2:22:05 – Relationship between Artificial and Biological Neuron
2:32:11 – Working of Perceptron
3:11:45 – Demo on McCullohPitt and Rosenblat Neurons
3:31:43 – Architecture of Artificial Neural Network
4:34:15 – Activation Functions
5:40:56 – Demo on Wine Dataset using Keras Sequential Model
8:11:14 – Back-propagation and Gradient Descent Algorithm
8:49:42 – Demo on MNIST dataset
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Hi Guys
Thanku greatlearning guys for providing us quality content. Thanks a lot.
Great Learning managed by great people♥️
great work sir
Great learning
This is great. Thank you. It would be great if you can share the PPT and Code files.
Sadly, no closed captioning?
sir thanks a ton for providing such a valuable content for free. One small request is the ppt is not clear which makes it difficult to understand. Please provide a solution for this sir
The demonstrated xor gate is actually xnor gate. Please correct this thing
very well explained..instantly interest intriguing way of presentation..thank you great learning..
PROJECTOR SCREEN IS TOTALLY UNCLEAR
PROJECTOR SCREEN IS TOTALLY UNCLEAR
Thanku greatlearning guys for providing us quality content. Thanks a lot.
Hi Guys
Great lecture, I think no where we can get this much knowledge, thank you great learning😀
Could you please provide slides/ppt used in whole session?
is it okay to get 100% accuracy with KFold cross validation
The concept explained in the session is great. However, to follow along with the instructor, it would be convenient to have the links of the documents, code snippets sharing. Sometimes the board or the code snippets shared are not visible to us. Hence not following properly. I sincerely appreciate Mukesh Sir who is the master in explaining the concepts clearly.
Great thanks 👍
sir great video. one request this part 5:24:58 the slide not clear. Can get the slide image. my email: manisehgar20@gmailcom.
jupyter not says, " importerror: DLL load failed: the specified module cant be found
Please tell me that which programming language is best for making Powerfull hacking tools. I also study your all python courses.. You are one of the best teacher…
Thank you so much great learning for providing such thoroughly explained lectures by these amazing teachers for free. You guys are life saver
Awesome explanation, no doubt but that is ex-nor gate. Everywhere u said it as xor gate, correct know sir
thank you for providing the website for the full course and resources
Your teaching way is great and informative. sir i want to make a program on Face recognition of COW, so how can i create own Cascade. please help
Thanks sir for provide this kind of video thanks sir
hello, what free course is this from? I am interested in getting the certificate for this deep learning course
Thanks!
Hi. Can you please share the link if the Google Collab notebooks.?
Get the certificate of completion for the course, for Free: https://glacad.me/GLA_dl_python
Also, to access the datasets, projects, assessments and codes, register on Great Learning Academy.
You can also enroll for any of our 80+ courses offering 1000+ hours of content for free
i am getting error after history=model.fit(…..
ValueError: Data cardinality is ambiguous:
x sizes: 4547
y sizes: 1950
Please provide data which shares the same first dimension.
please tell how to correct it