KZhead

Deep Learning Interview Prep Course

freeCodeCamp.org
2024 ж. 12 Мам.
224 113 Рет қаралды
Жүктеу

Prepare for a job interview about deep learning. This course covers 50 common interview questions related to deep learning and gives detailed explanations.
✏️ Course created by Tatev Karen Aslanyan.
✏️ Expanded course with 100 questions: courses.lunartech.ai/courses/...
⭐️ Contents ⭐️
⌨️ 0:00:00 Introduction
⌨️ 0:08:20 Question 1: What is Deep Learning?
⌨️ 0:11:45 Question 2: How does Deep Learning differ from traditional Machine Learning?
⌨️ 0:15:25 Question 3: What is a Neural Network?
⌨️ 0:21:40 Question 4: Explain the concept of a neuron in Deep Learning
⌨️ 0:24:35 Question 5: Explain architecture of Neural Networks in simple way
⌨️ 0:31:45 Question 6: What is an activation function in a Neural Network?
⌨️ 0:35:00 Question 7: Name few popular activation functions and describe them
⌨️ 0:47:40 Question 8: What happens if you do not use any activation functions in a neural network?
⌨️ 0:48:20 Question 9: Describe how training of basic Neural Networks works
⌨️ 0:53:45 Question 10: What is Gradient Descent?
⌨️ 1:03:50 Question 11: What is the function of an optimizer in Deep Learning?
⌨️ 1:09:25 Question 12: What is backpropagation, and why is it important in Deep Learning?
⌨️ 1:17:25 Question 13: How is backpropagation different from gradient descent?
⌨️ 1:19:55 Question 14: Describe what Vanishing Gradient Problem is and it’s impact on NN
⌨️ 1:25:55 Question 15: Describe what Exploding Gradients Problem is and it’s impact on NN
⌨️ 1:33:55 Question 16: There is a neuron in the hidden layer that always results in an error. What could be the reason?
⌨️ 1:37:50 Question 17: What do you understand by a computational graph?
⌨️ 1:43:28 Question 18: What is Loss Function and what are various Loss functions used in Deep Learning?
⌨️ 1:47:15 Question 19: What is Cross Entropy loss function and how is it called in industry?
⌨️ 1:50:18 Question 20: Why is Cross-entropy preferred as the cost function for multi-class classification problems?
⌨️ 1:53:10 Question 21: What is SGD and why it’s used in training Neural Networks?
⌨️ 1:58:24 Question 22: Why does stochastic gradient descent oscillate towards local minima?
⌨️ 2:03:38 Question 23: How is GD different from SGD?
⌨️ 2:08:19 Question 24: How can optimization methods like gradient descent be improved? What is the role of the momentum term?
⌨️ 2:14:22 Question 25: Compare batch gradient descent, minibatch gradient descent, and stochastic gradient descent.
⌨️ 2:19:12 Question 26: How to decide batch size in deep learning (considering both too small and too large sizes)?
⌨️ 2:26:01 Question 27: Batch Size vs Model Performance: How does the batch size impact the performance of a deep learning model?
⌨️ 2:29:33 Question 28: What is Hessian, and how can it be used for faster training? What are its disadvantages?
⌨️ 2:34:12 Question 29: What is RMSProp and how does it work?
⌨️ 2:38:43 Question 30: Discuss the concept of an adaptive learning rate. Describe adaptive learning methods
⌨️ 2:43:34 Question 31: What is Adam and why is it used most of the time in NNs?
⌨️ 2:49:59 Question 32: What is AdamW and why it’s preferred over Adam?
⌨️ 2:54:50 Question 33: What is Batch Normalization and why it’s used in NN?
⌨️ 3:03:19 Question 34: What is Layer Normalization, and why it’s used in NN?
⌨️ 3:06:20 Question 35: What are Residual Connections and their function in NN?
⌨️ 3:15:05 Question 36: What is Gradient clipping and their impact on NN?
⌨️ 3:18:09 Question 37: What is Xavier Initialization and why it’s used in NN?
⌨️ 3:22:13 Question 38: What are different ways to solve Vanishing gradients?
⌨️ 3:25:25 Question 39: What are ways to solve Exploding Gradients?
⌨️ 3:26:42 Question 40: What happens if the Neural Network is suffering from Overfitting relate to large weights?
⌨️ 3:29:18 Question 41: What is Dropout and how does it work?
⌨️ 3:33:59 Question 42: How does Dropout prevent overfitting in NN?
⌨️ 3:35:06 Question 43: Is Dropout like Random Forest?
⌨️ 3:39:21 Question 44: What is the impact of Drop Out on the training vs testing?
⌨️ 3:41:20 Question 45: What are L2/L1 Regularizations and how do they prevent overfitting in NN?
⌨️ 3:44:39 Question 46: What is the difference between L1 and L2 regularisations in NN?
⌨️ 3:48:43 Question 47: How do L1 vs L2 Regularization impact the Weights in a NN?
⌨️ 3:51:56 Question 48: What is the curse of dimensionality in ML or AI?
⌨️ 3:53:04 Question 49: How deep learning models tackle the curse of dimensionality?
⌨️ 3:56:47 Question 50: What are Generative Models, give examples?

Пікірлер

  • "Big thanks to the team of FreeCodeCamp, and especially to Beau for this incredible opportunity to collaborate on this AI content. ❤It's a privilege to contribute to worlds leading and most accessible online coding platforms, that shapes coding education and industry. Looking forward to more collaborations in the future!" Tatev Aslanyan

    @LunarTech_ai@LunarTech_ai3 ай бұрын

    • ! Q.,.....

      @tijithsasi9015@tijithsasi901525 күн бұрын

  • Finally a interview prep video other than Full stack Development.

    @DontAddMe@DontAddMe3 ай бұрын

    • 😂😂

      @nocopyrightgameplaystockvi231@nocopyrightgameplaystockvi2313 ай бұрын

    • I was also tired of all these videos😂😂😂😂

      @Moj206Pejo@Moj206Pejo3 ай бұрын

  • I love this. Thinking about applying for another job but always nervous when doing interviews. I’ve always gotten hired but still would love to hit them with a woah factor during interview. I feel like with the skills I have and the blown out interview would help me with me negotiating my salary

    @virgorising8123@virgorising81233 ай бұрын

  • AWESOME!!!!!!! Interview preparation is a whole process that involves a lot skills, beside technical skill you need to know how to transmit your knowledge in a clear and effective way. Thank you for this and for all the FCC fantastic content!

    @cloey_b@cloey_b3 ай бұрын

  • This was invaluable for interview prep! Not just the tech, but the communication tips really resonate. Thanks for all the FCC gems!

    @How.To.Train.Your_Ai@How.To.Train.Your_Ai3 ай бұрын

  • This is just amazing, im having a interview this next week, and this course will be my todo of the weekend. Thanks a lot Tatever and FreeCodeCamp

    @franciscofurey4878@franciscofurey48782 ай бұрын

  • Could you please consider creating a video discussing computer vision interview questions?

    @nivitusfernandez3574@nivitusfernandez3574Ай бұрын

  • 3:05:36 small erratum - gpt style models are decoder only and bert model (sentiment analysis) architecture is encoder only. Btw, great stuff. Have a nice one.

    @snsa_kscc@snsa_kscc3 ай бұрын

  • Thank you so much, really helpful. I'd correct a mistake: 47:00 the leaky ReLU should not be for but , and to generalize, that can be any number between 0 and 1.

    @aafshinfard@aafshinfard19 күн бұрын

  • Most attractive thumbnail of freecodecamp 🥴

    @shivamrawat3719@shivamrawat37193 ай бұрын

  • It's very clearly made vedio and make sure it helpful to us for clearing any interview

    @kolsafi71@kolsafi713 ай бұрын

  • Please make a course on machine learning for data science interview prepration.

    @user-qe5em9ht2h@user-qe5em9ht2h3 ай бұрын

  • This is interesting and a nice refresher. Is there one for machine learning in the works?

    @RDK-2292@RDK-22923 ай бұрын

  • Good stuff, thanks!

    @TheMaldingZucchini@TheMaldingZucchini3 ай бұрын

  • Thank ypu for making a lot of helpful Stuff free ❤

    @TrendTwist983@TrendTwist9833 ай бұрын

    • its no free 9M subscribers is mony

      @Moj206Pejo@Moj206Pejo3 ай бұрын

  • ALSO REQ FOR IMP TOPICS IN DATA SCIENCE TOO

    @faizanahmed7485@faizanahmed74853 ай бұрын

  • Thanks for this wonderful stuff

    @talhahashim6905@talhahashim69056 күн бұрын

  • Thank you so much FCC for this great content! This will really help me.

    @nadiareyes7420@nadiareyes74203 ай бұрын

  • In Answer 7, as shown in the chart on the right, shouldnt the formula be 'F(z) = 0.01z' for the negative case?

    @user-pg9ch6gc3i@user-pg9ch6gc3i3 ай бұрын

  • FYI, the mic orientation is incorrect.

    @TR1XT3RZ360@TR1XT3RZ3603 ай бұрын

  • Thank you the lectures. for Answer 13, my understanding is reversed.

    @caiyu538@caiyu5383 ай бұрын

  • She's so brave!

    @clandeszipp4564@clandeszipp45643 ай бұрын

    • Why?

      @ickebins6948@ickebins69483 ай бұрын

  • ML interviews seem far easier than Software interviews. (Assuming you've a basic understanding of calculus & linear algebra). Maybe cause software is more saturated & easy to outsource?

    @Dom-zy1qy@Dom-zy1qy3 ай бұрын

  • Do we have similar one for machine learning and natural language processing?

    @nikhilmugganawar@nikhilmugganawar3 ай бұрын

  • The graph for leaky ReLU is so wrong at 44:50. It does not match the equation.

    @vcool@vcoolАй бұрын

  • She is so excellent but why she doesn't have a KZhead channel?

    @juzosuzuya9297@juzosuzuya92973 ай бұрын

    • Maybe she's not so used to content creation or doesn't get enough time to devote to it? :)

      @progwithpaul@progwithpaul3 ай бұрын

    • I also asked her and she said she didn't have time

      @Moj206Pejo@Moj206Pejo3 ай бұрын

    • Running a KZhead channel requires a lot of time.

      @nocopyrightgameplaystockvi231@nocopyrightgameplaystockvi2313 ай бұрын

    • I have the same question 😢

      @zanusssidokazano1854@zanusssidokazano18543 ай бұрын

    • There are many more people so good outside KZhead.😅

      @fahvm4362@fahvm43623 ай бұрын

  • Thanks for this 🎉

    @nocopyrightgameplaystockvi231@nocopyrightgameplaystockvi2313 ай бұрын

  • Wow. The tech industry should really be ashamed of itself for creating an HR process this hostile.

    @dinkaboutit4228@dinkaboutit42283 ай бұрын

  • Please put game start in unity

    @villisaiandmagudam2.o692@villisaiandmagudam2.o6923 ай бұрын

  • Good evening

    @rishiraj2548@rishiraj25483 ай бұрын

  • It's different

    @__________________________6910@__________________________69103 ай бұрын

  • ☑️

    @user-ke7dd9wf2n@user-ke7dd9wf2n3 ай бұрын

  • Why no sound in video?

    @hemlatamahto5431@hemlatamahto54313 ай бұрын

  • ❤

    @balasivasaimegireddypadala2225@balasivasaimegireddypadala22253 ай бұрын

  • Thanks Karen! Great job!

    @zy5492@zy54923 ай бұрын

  • very helpfull i hope we are nice to meet you

    @Moj206Pejo@Moj206Pejo3 ай бұрын

  • I think Hessian is pronounced as heh-see-an, not as Haitian.

    @vcool@vcoolАй бұрын

  • Thanks for slime and very helpful explanation. Excellent work.

    @karenbobo-yi8lw@karenbobo-yi8lw2 ай бұрын

  • Babita ji aap ?

    @khanra17@khanra173 ай бұрын

  • Great job

    @LeobadoAlexisAguilar@LeobadoAlexisAguilar3 ай бұрын

  • Excellent.

    @mehdismaeili3743@mehdismaeili37433 ай бұрын

  • Interesting educational video! Definitely a like!

    @English..Translation..Practice@English..Translation..Practice3 ай бұрын

  • Like like like❤❤❤❤❤❤❤

    @sinarezaei4288@sinarezaei42883 ай бұрын

  • Thank you

    @ankita1102@ankita11023 ай бұрын

  • The right side

    @gtykh2674@gtykh267411 күн бұрын

  • Too easy

    @user-alexander353@user-alexander3533 ай бұрын

  • BANGLADESH

    @abbasmahmoud360@abbasmahmoud3603 ай бұрын

  • 😊 thank you

    @CLICK_SUBSCRIBE_BUTTON@CLICK_SUBSCRIBE_BUTTON2 ай бұрын

  • SPOT THE DRACO🐍=53

    @dracotraits9194@dracotraits919413 күн бұрын

  • and she is pretty

    @user-lr8ug1ex4r@user-lr8ug1ex4rАй бұрын

  • im first commenter

    @freetechlearnings@freetechlearnings3 ай бұрын

    • you want a medal?

      @leb5550@leb55503 ай бұрын

  • What’s your OF

    @tonos5804@tonos58043 ай бұрын

  • 😢

    @deepakjana5948@deepakjana594821 күн бұрын

  • I am sorry, but this video feels superficial and the vocab is being used just for the sake of being used and not to explain. I am a fan of FCC but not this one

    @vickykanchi-kd7ri@vickykanchi-kd7ri3 ай бұрын

  • If you need a video like this for a job interview, you should not be at that interview... Just saying

    @ickebins6948@ickebins69483 ай бұрын
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