{"id":8937,"date":"2026-08-10T10:01:42","date_gmt":"2026-08-10T10:01:42","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/lunartech-deep-learning-interview-prep-course-full-course-100-qas-2024-12\/"},"modified":"2026-08-10T10:01:42","modified_gmt":"2026-08-10T10:01:42","slug":"lunartech-deep-learning-interview-prep-course-full-course-100-qas-2024-12","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/lunartech-deep-learning-interview-prep-course-full-course-100-qas-2024-12\/","title":{"rendered":"LunarTech \u2013 Deep Learning Interview Prep Course | Full Course [100 Q&#038;A\u2019s] 2024-12"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2>Descriptions<\/h2>\n<p>Deep Learning Interview Prep Course | Full Course [100 Q&amp;A\u2019s], Ace your deep learning interview with our comprehensive prep course! Master essential concepts to advanced techniques like GANs and Transformers. Build your understanding and confidence with in-depth answers to top interview questions. Develop the confidence to tackle any deep learning interview question, from fundamental concepts to advanced architectures, ensuring you present yourself as a knowledgeable and competent candidate. Master essential deep learning topics such as neural network architectures, optimization algorithms, and regularization techniques, demonstrating your proficiency in foundational concepts crucial for success in interviews. Grasp the essential concepts of deep learning, from how neural networks function to practical applications across different industries. Gain a competitive advantage over other candidates by showcasing your deep understanding of key deep learning principles and your readiness to excel in interviews, positioning yourself as a top contender for coveted roles in machine learning and artificial intelligence.<\/p>\n<h3>What you\u2019ll learn<\/h3>\n<ul>\n<li>Confidence in Interview Performance<\/li>\n<li>Expertise in Core Concepts<\/li>\n<li>Empowered Deep Learning Learner<\/li>\n<li>Competitive Edge in the Job Market<\/li>\n<li>Understand the core concepts of deep learning, from neural network architecture to the intricacies of activation<\/li>\n<li>functions and the training process.<\/li>\n<li>Optimization Techniques and Regularization Strategies<\/li>\n<\/ul>\n<h3>Specificatoin of Deep Learning Interview Prep Course | Full Course [100 Q&amp;A\u2019s]<\/h3>\n<ul>\n<li>Publisher : <a href=\"https:\/\/href.li\/?https:\/\/academy.lunartech.ai\/product\/deep-learning-interview-preparation-course-100-q-as\" target=\"_blank\" rel=\"noopener\">LunarTech<\/a><\/li>\n<li>Teacher : <a href=\"https:\/\/downloadlynet.ir\/tag\/tatev-aslanyan\">Tatev Aslanyan<\/a><\/li>\n<li>Language : English<\/li>\n<li>Level : All Levels<\/li>\n<li>Number of Course : 100<\/li>\n<li>Duration : 8 hours and 11 minutes<\/li>\n<\/ul>\n<h3>Content of Deep Learning Interview Prep Course | Full Course [100 Q&amp;A\u2019s]<\/h3>\n<p>Q1 \u2013 What is Deep Learning?<br \/>Q2 \u2013 What is Deep Learning?<br \/>Q3 \u2013 What is a Neural Network?<br \/>Q4 \u2013 Explain the concept of a neuron in Deep Learning.<br \/>Q5 \u2013 Explain architecture of Neural Networks in simple way<br \/>Q6 \u2013 What is an activation function in a Neural Network?<br \/>Q7 \u2013 Name few popular activation functions and describe them<br \/>Q8 \u2013 What happens if you do not use any activation functions in a NN?<br \/>Q9 \u2013 Describe how training of basic Neural Networks works<br \/>Q10 \u2013 What is Gradient Descent?<br \/>Q11 \u2013 What is the function of an optimizer in Deep Learning?<br \/>Q12 \u2013 What is backpropagation, and why is it important in Deep Learning?<br \/>Q13 \u2013 How is backpropagation different from gradient descent?<br \/>Q14 \u2013 Describe what Vanishing Gradient Problem is and it\u2019s impact on NN<br \/>Q15 \u2013 Describe what Exploding Gradients Problem is and it\u2019s impact on NN<br \/>Q16 \u2013 There is a neuron results in a large error in backpropagation. Reason?<br \/>Q17 \u2013 What do you understand by a computational graph?<br \/>Q18 \u2013 What is Loss Function and what are various Loss functions used in DL?<br \/>Q19 \u2013 What is Cross Entropy loss function and how is it called in industry?<br \/>Q20 \u2013 Why is Cross-entropy preferred as cost function for multi-class classification?<br \/>Q21 \u2013 What is SGD and why it\u2019s used in training Neural Networks?<br \/>Q22 \u2013 Why does stochastic gradient descent oscillate towards local minima?<br \/>Q23: How is GD different from SGD<br \/>Q24: What is SGD with Momentum<br \/>Q25 \u2013 Batch Gradient Descent, Minibatch Gradient Descent vs SGD<br \/>Q26: What is impact of Batch Size<br \/>Q27: Batch Size vs Model Performance<br \/>Q28: What is Hessian, usage in DL<br \/>Q29: What is RMSProp and how does it work?<br \/>Q30: What is Adaptive Learning<br \/>Q31: What is Adam Optimizer<br \/>Q32: What is AdamW Algorithm in Neural Networks<br \/>Q33: What is Batch Normalization<br \/>Q34: What is Layer Normalization<br \/>Q35: What are Residual Connections<br \/>Q36: What is Gradient Clipping<br \/>Q37: What is Xavier Initialization<br \/>Q38: What are ways to solve Vanishing Gradients<br \/>Q39: How to solve Exploding Gradient Problem<br \/>Q40: What is Overfitting<br \/>Q41: What is Dropout<br \/>Q42: How does Dropout prevent Overfitting in Neural Networks<br \/>Q43: Is Dropout like Random Forest<br \/>Q44: What is the impact of DropOut on the training vs testing<br \/>Q45: What are L2 and L1 Regularizations for Overfitting NN<br \/>Q46: What is the difference between L1 and L2 Regularisations<br \/>Q47: How do L1 vs L2 Regularization impact the Weights in a NN?<br \/>Q48: What is the Curse of Dimensionality in Machine Learning | Deep Learning Interview Question<br \/>Q49 \u2013 How Deep Learning models tackle the Curse of Dimensionality | Deep Learning Interview Question<br \/>Q50: What are Generative Models, give examples?<br \/>Q51 \u2013 What are Discriminative Models, give examples?<br \/>Q52 \u2013 What is the difference between generative and discriminative models?<br \/>Q53 \u2013 What are Autoencoders and How Do They Work?<br \/>Q54: What is the Difference Beetween Autoenconders and other Neural Networks?<br \/>Q55 \u2013 What are some popular autoencoders, mention few?<br \/>Q56 \u2013 What is the role of the Loss function in Autoencoders, &amp; how is it different from other NN?<br \/>Q57 \u2013 How do autoencoders differ from (PCA)?<br \/>Q58 \u2013 Which one is better for reconstruction linear autoencoder or PCA?<br \/>Q59 \u2013 How can you recreate PCA with neural networks?<br \/>Q60 \u2013 Can You Explain How Autoencoders Can be Used for Anomaly Detection?<br \/>Q61 \u2013 What are some applications of AutoEncoders<br \/>Q62 \u2013 How can uncertainty be introduced into Autoencoders, &amp; what are the benefits and challenges of doing so?<br \/>Q63 \u2013 Can you explain what VAE is and describe its training process?<br \/>Q64 \u2013 Explain what Kullback-Leibler (KL) divergence is &amp; why does it matter in VAEs?<br \/>Q65 \u2013 Can you explain what reconstruction loss is &amp; it\u2019s function in VAEs?<br \/>Q66 \u2013 What is ELBO &amp; What is this trade-off between reconstruction quality &amp; regularization?<br \/>Q67 \u2013 Can you explain the training &amp; optimization process of VAEs?<br \/>Q68 \u2013 How would you balance reconstruction quality and latent space regularization in a practical Variational Autoencoder implementation?<br \/>Q69 \u2013 What is Reparametrization trick and why is it important?<br \/>Q70 \u2013 What is DGG \u201cDeep Clustering via a Gaussian-mixture Variational Autoencoder (VAE)\u201d with Graph Embedding<br \/>Q71 \u2013 How does a neural network with one layer and one input and output compare to a logistic regression?<br \/>Q72 \u2013 In a logistic regression model, will all the gradient descent algorithms lead to the same model if run for a long time?<br \/>Q73 \u2013 What is a Convolutional Neural Network?<br \/>Q74 \u2013 What is padding and why it\u2019s used in Convolutional Neural Networks (CNNs)?<br \/>Q75 \u2013 Padded Convolutions: What are Valid and Same Paddings?<br \/>Q76 \u2013 What is stride in CNN and why is it used?<br \/>Q77 \u2013 What is the impact of Stride size on CNNs?<br \/>Q78 \u2013 What is Pooling, what is the intuition behind it and why is it used in CNNs?<br \/>Q79 \u2013 What are common types of pooling in CNN?<br \/>Q80 \u2013 Why min pooling is not used?<br \/>Q81 \u2013 What is translation invariance and why is it important?<br \/>Q82 \u2013 How does a 1D Convolutional Neural Network (CNN) work?<br \/>Q83 \u2013 What are Recurrent Neural Networks, and walk me through the architecture of RNNs.<br \/>Q84 \u2013 What are the main disadvantages of RNNs, especially in Machine Translation Tasks?<br \/>Q85 \u2013 What are some applications of RNN?<br \/>Q86 \u2013 What technique is commonly used in RNNs to combat the Vanishing Gradient Problem?<br \/>Q87 \u2013 What are LSTMs and their key components?<br \/>Q88 \u2013 What limitations of RNN that LSTMs do and don\u2019t address and how?<br \/>Q89 \u2013 What is a gated recurrent unit (GRU) and how is it different from LSTMs?<br \/>Q90 \u2013 Describe how Generative Adversarial Networks (GANs) work and the roles of the generator and discriminator in learning.<br \/>Q91 \u2013 Describe how would you use GANs for image translation or creating photorealistic images?<br \/>Q92 \u2013 How would you address mode collapse and vanishing gradients in GAN training, and what is their impact on data quality?<br \/>Q93- Minimax and Nash Equilibrium in GAN<br \/>Q94 \u2013 What are token embeddings and what is their function?<br \/>Q95 \u2013 What is self-attention mechanism?<br \/>Q96 \u2013 What is Multi-Head Self-Attention and how does it enable more effective processing of sequences in Transformers?<br \/>Q97 \u2013 What are transformers and why are they important in combating problems of models like RNN and LSTMs?<br \/>Q98 \u2013 Walk me through the architecture of transformers.<br \/>Q99 \u2013 What are positional encodings and how are they calculated?<br \/>Q100 \u2013 Why do we add positional encodings to Transformers but not to<\/p>\n<h3>Picture<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-968002\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/03\/Deep-Learning-Interview-Prep-Course-_-Full-Course-_100-QAs_.d.png\" alt=\"Deep+Learning+Interview+Prep+Course+_+Full+Course+_100+Q&amp;A's_\" width=\"700\" height=\"334\"><\/p>\n<h3>Sample Clip<\/h3>\n<div style=\"width: 640px;\" class=\"wp-video\"><span class=\"mejs-offscreen\">Video Player<\/span><\/p>\n<div id=\"mep_0\" class=\"mejs-container mejs-container-keyboard-inactive wp-video-shortcode mejs-video\" tabindex=\"0\" role=\"application\" aria-label=\"Video Player\" style=\"width: 640px; height: 360px; min-width: 217px;\">\n<div class=\"mejs-inner\">\n<div class=\"mejs-mediaelement\"><mediaelementwrapper id=\"video-157220-1\"><video class=\"wp-video-shortcode\" id=\"video-157220-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Deep_Learning_Interview_Prep_Course_Full_Course_100_QAs_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Deep_Learning_Interview_Prep_Course_Full_Course_100_QAs_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Deep_Learning_Interview_Prep_Course_Full_Course_100_QAs_Downloadly.ir.mp4?nocache=1786113746005\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Deep_Learning_Interview_Prep_Course_Full_Course_100_QAs_Downloadly.ir.mp4<\/a><\/video><\/mediaelementwrapper><\/div>\n<div class=\"mejs-layers\">\n<div class=\"mejs-poster mejs-layer\" style=\"display: none; width: 100%; height: 100%;\"><\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-loading\"><span class=\"mejs-overlay-loading-bg-img\"><\/span><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-error\"><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer mejs-overlay-play\" style=\"width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-button\" role=\"button\" tabindex=\"0\" aria-label=\"Play\" aria-pressed=\"false\"><\/div>\n<\/div>\n<\/div>\n<div class=\"mejs-controls\">\n<div class=\"mejs-button mejs-playpause-button mejs-play\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Play\" aria-label=\"Play\" tabindex=\"0\"><\/button><\/div>\n<div class=\"mejs-time mejs-currenttime-container\" role=\"timer\" aria-live=\"off\"><span class=\"mejs-currenttime\">00:00<\/span><\/div>\n<div class=\"mejs-time-rail\"><span class=\"mejs-time-total mejs-time-slider\" role=\"slider\" tabindex=\"0\" aria-label=\"Time Slider\" aria-valuemin=\"0\" aria-valuemax=\"0\" aria-valuenow=\"0\" aria-valuetext=\"00:00\"><span class=\"mejs-time-buffering\" style=\"display: none;\"><\/span><span class=\"mejs-time-loaded\"><\/span><span class=\"mejs-time-current\"><\/span><span class=\"mejs-time-hovered no-hover\"><\/span><span class=\"mejs-time-handle\"><span class=\"mejs-time-handle-content\"><\/span><\/span><span class=\"mejs-time-float\"><span class=\"mejs-time-float-current\">00:00<\/span><span class=\"mejs-time-float-corner\"><\/span><\/span><\/span><\/div>\n<div class=\"mejs-time mejs-duration-container\"><span class=\"mejs-duration\">00:00<\/span><\/div>\n<div class=\"mejs-button mejs-volume-button mejs-mute\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Mute\" aria-label=\"Mute\" tabindex=\"0\"><\/button><a href=\"javascript:void(0);\" class=\"mejs-volume-slider\" aria-label=\"Volume Slider\" aria-valuemin=\"0\" aria-valuemax=\"100\" role=\"slider\" aria-orientation=\"vertical\"><span class=\"mejs-offscreen\">Use Up\/Down Arrow keys to increase or decrease volume.<\/span><\/p>\n<div class=\"mejs-volume-total\">\n<div class=\"mejs-volume-current\" style=\"bottom: 0px; height: 100%;\"><\/div>\n<div class=\"mejs-volume-handle\" style=\"bottom: 100%; margin-bottom: -3px;\"><\/div>\n<\/div>\n<p><\/a><\/div>\n<div class=\"mejs-button mejs-fullscreen-button\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Fullscreen\" aria-label=\"Fullscreen\" tabindex=\"0\"><\/button><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3>Installation Guide<\/h3>\n<p>Extract the files and watch with your favorite player<\/p>\n<p>Subtitle : Not Available<\/p>\n<p>Quality: 1080p<\/p>\n<h3>Download Links<\/h3>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/LunarTech_Deep_Learning_Interview_Prep_Course_Full_Course_100_QAs_2024-12_Downloadly.ir.part1.rar?nocache=1786113745\">Download Part 1 \u2013 1 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl2.downloadly.ir\/Files\/Elearning\/LunarTech_Deep_Learning_Interview_Prep_Course_Full_Course_100_QAs_2024-12_Downloadly.ir.part2.rar?nocache=1786113745\">Download Part 2 \u2013 839 MB<\/a><\/p>\n<h5>Password file(s): <a>www.downloadly.ir<\/a><\/h5>\n<h3>File size<\/h3>\n<p>1.81 GB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Descriptions Deep Learning Interview Prep Course | Full Course [100 Q&amp;A\u2019s], Ace your deep learning interview with our comprehensive prep course! Master esse<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[78047,78048,78049,78050,78051,78052,78053,78054,76990],"class_list":["post-8937","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-deep-learning-interview-prep-course-full-course-100-qas","dgi_tag-deep-learning-interview-prep-course-full-course-100-qas-download","dgi_tag-deep-learning-interview-prep-course-full-course-100-qas-free","dgi_tag-deep-learning-interview-prep-course-full-course-100-qas-free-download","dgi_tag-download-deep-learning-interview-prep-course-full-course-100-qas","dgi_tag-free-deep-learning-interview-prep-course-full-course-100-qas","dgi_tag-free-download-deep-learning-interview-prep-course-full-course-100-qas","dgi_tag-lunartech-deep-learning-interview-prep-course-full-course-100-qas","dgi_tag-tatev-aslanyan"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/8937","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item"}],"about":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/types\/digital_item"}],"author":[{"embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":0,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/8937\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=8937"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=8937"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=8937"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}