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Deep Learning Interview Questions: Over 100+ Deep Learning Interview Questions with Answers
Your complete guide to crack any deep learning interview. This book has been created by many leading deep learning scientists.
Why you should get this book?
Includes 100+ deep learning interview questions with answersCrafted by data scientists who conduct interviewsIncludes basic to advanced questions Book
Deep learning which is a subset of machine learning is changing the job market by paving way for new jobs of the future. If you are a data scientist who wanted to ace your deep learning interview and get your dream data science job then this book must be the right one for you. The book has been carefully crafted with basic to advanced deep learning interview questions that are asked in top companies.
First, you will explore some of the questions related to fundamentals of deep learning and then you will see questions related to gradient descent and several variants of the gradient descent methods. Followed by this, you will explore questions related to the convolutional neural network and its architecture. Moving on, you will get familiarized with questions related to recurrent neural networks and variants of RNN called LSTM. Next, you will learn about questions related to GAN and different types of GANs like stack GANs, DCGAN, CycleGAN, and InfoGAN.
Moving forward, you will explore questions related to autoencoders and different types of autoencoders like sparse autoencoders, contractive autoencoders, and variational autoencoders. Next, you will also see a few questions related to embedding methods like word2vec. At the end of the book, you will learn questions related to TensorFlow.
Table of
This book includes all the important topics in deep Learning which are frequently asked in the Interviews. The topic includes in the book are the
Fundamentals of Deep LearningGradient Descent MethodsConvolutional Neural NetworksRecurrent Neural NetworksGenerative Adversarial NetworksAutoencodersEmbedding based methodsTensorFlowIs it the right book for you?
If you are a data scientist or machine learning engineer who already knows deep learning and applying for jobs which specifically deals with deep learning then this book must be the right one for you in understanding some of the popular questions and also to test you are knowledge on popular deep learning algorithms.
Why you should get this book?
Includes 100+ deep learning interview questions with answersCrafted by data scientists who conduct interviewsIncludes basic to advanced questions Book
Deep learning which is a subset of machine learning is changing the job market by paving way for new jobs of the future. If you are a data scientist who wanted to ace your deep learning interview and get your dream data science job then this book must be the right one for you. The book has been carefully crafted with basic to advanced deep learning interview questions that are asked in top companies.
First, you will explore some of the questions related to fundamentals of deep learning and then you will see questions related to gradient descent and several variants of the gradient descent methods. Followed by this, you will explore questions related to the convolutional neural network and its architecture. Moving on, you will get familiarized with questions related to recurrent neural networks and variants of RNN called LSTM. Next, you will learn about questions related to GAN and different types of GANs like stack GANs, DCGAN, CycleGAN, and InfoGAN.
Moving forward, you will explore questions related to autoencoders and different types of autoencoders like sparse autoencoders, contractive autoencoders, and variational autoencoders. Next, you will also see a few questions related to embedding methods like word2vec. At the end of the book, you will learn questions related to TensorFlow.
Table of
This book includes all the important topics in deep Learning which are frequently asked in the Interviews. The topic includes in the book are the
Fundamentals of Deep LearningGradient Descent MethodsConvolutional Neural NetworksRecurrent Neural NetworksGenerative Adversarial NetworksAutoencodersEmbedding based methodsTensorFlowIs it the right book for you?
If you are a data scientist or machine learning engineer who already knows deep learning and applying for jobs which specifically deals with deep learning then this book must be the right one for you in understanding some of the popular questions and also to test you are knowledge on popular deep learning algorithms.
26 pages, Kindle Edition
Published March 21, 2020
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