Deep Learning Interviews

Second edition · Real-world deep learning interview problems & solutions

Deep Learning
Interviews

Shlomo Kashani

A working reference for interviews and graduate-level exams

Hundreds of fully solved job interview questions from key AI topics.

400Pages
100+Problems
7Chapters
Free PDF Buy on Amazon GitHub ★ --
Deep Learning Interviews, second edition, by Shlomo Kashani
Second edition · View full-size cover

The book

Prepare to speak
fluently on AI.

An essential resource for aspiring data scientists and AI professionals facing competitive job interviews or graduate-level exams.

This comprehensive guide provides step-by-step solutions, clear diagrams, and detailed reasoning to make complex concepts intuitive.

Explore the seven chapters

Inside Volume I

A comprehensive curriculum covering the mathematical and computational foundations of deep learning.

01

Information Theory

Entropy, mutual information, KL divergence, and their applications in machine learning and neural networks.

02

Calculus & Algorithmic Differentiation

Chain rule, backpropagation, automatic differentiation, and computational graph optimization techniques.

03

Bayesian Deep Learning

Probabilistic programming, uncertainty quantification, variational inference, and Bayesian neural networks.

04

Logistic Regression

Maximum likelihood estimation, regularization, feature engineering, and classification fundamentals.

05

Ensemble Learning

Bagging, boosting, random forests, gradient boosting, and model combination strategies.

06

Feature Extraction

Dimensionality reduction, PCA, t-SNE, feature selection, and representation learning techniques.

07

Deep Learning

Comprehensive treatment covering neural networks, CNNs, RNNs, attention mechanisms, and modern architectures with PyTorch, Python, and C++ examples.

Extended chapter · 100+ pages

Preview the book

Browse through the comprehensive content and see the quality of explanations firsthand.

Deep Learning Interviews

Interactive PDF preview

Your browser does not support inline PDFs. Download the PDF to view it.

Prefer a physical working copy? The book is available in two print formats.

Blurb · 8×10 in · $32 Amazon · 7.5×9.25 in · $32

About the author

Meet the author

Shlomo Kashani
Author · Researcher · Educator

Lead Author & AI Researcher

Shlomo Kashani

Shlomo brings extensive experience in deep learning research and education. His passion for making complex AI concepts accessible to students and professionals drives the pedagogical approach of this comprehensive guide. Shlomo is also a filmmaker. His film October 7: The Day is an animated reconstruction of the Hamas-led attack on the kibbutzim and the Nova music festival.

Google Scholar @SolomonKashani
“It is our belief that you, the postgraduate students and job-seekers for whom the book is primarily meant, will benefit from reading it; however, it is our hope that even the most experienced researchers will find it fascinating as well.”
— The Authors
“An essential resource for aspiring data scientists and AI professionals. This meticulously curated inventory empowers readers to speak fluently on AI topics.”
— Reader Review