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Modular hands on deep learning syllabus

DSP-IP deep learning syllabus

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Modular hands on deep learning syllabus

  1. 1. 2 Beni Berman st, Netanya, Israel | www.dsp-ip.com | info@dsp-ip.com | 0545313092 ‫מעשית‬ ‫עמוקה‬ ‫למידה‬ – ‫תוכנית‬ ‫מודולרית‬ ‫הכשרה‬ ‫פוקוס‬ ‫מ‬ ‫היא‬ ‫התוכנית‬ ‫טרת‬ ‫הנ‬ ‫האלגוריתמי‬ ‫הידע‬ ‫בין‬ ‫הפער‬ ‫גישור‬ ‫אק‬ ‫בקורסים‬ ‫למד‬ ‫ד‬ ( ‫ובאינטרנט‬ ‫מיים‬ Stanford, deeplearning.ai, MIT ) ‫ההיטק‬ ‫חברות‬ ‫עי‬ ‫הנדרשות‬ ‫למיומנויות‬ . ‫התוכנית‬ ‫במסגרת‬ ‫נלמדים‬ ‫פיתוח‬ ‫כלי‬ ‫מתחום‬ ‫עבודה‬ ‫ושיטות‬ ‫תוכנות‬ , ‫העמוקה‬ ‫הלמידה‬ .‫בתעשיה‬ ‫בשימוש‬ ‫הנמצאים‬ ‫של‬ ‫הם‬ ‫שנבחרו‬ ‫הפיתוח‬ ‫כלי‬ ,NVIDIA ‫ה‬ ‫בעולם‬ ‫המובילה‬ ‫חברה‬ ‫בפיתוח‬ GPU ‫עמוקה‬ ‫ללמידה‬ ‫תוכנה‬ ‫וכלי‬ ‫ושל‬ AWS ‫ש‬ ‫לתוכנית‬ ‫התורמות‬ ‫חברות‬ ‫תי‬ ‫לתוכנית‬ ,‫ענן‬ ‫שעות‬ ‫פיתוח‬ ‫בכלי‬ , ‫קו‬ ‫רסים‬ ‫חומרה‬ ‫וכרטיסי‬ ‫יותר‬ ‫איכותית‬ ‫עבודה‬ ‫למצוא‬ ‫לבוגרים‬ ‫לסייע‬ ‫מנת‬ ‫על‬ ‫לחדשנות‬ ‫הרשות‬ ‫בחסות‬ ‫התוכנית‬ ‫כן‬ ‫כמו‬ ‫התוכנית‬ ‫בחינם‬ ‫בעולם‬ ‫מהטובים‬ ‫מרצים‬ ‫עי‬ ‫למצוא‬ ‫ניתן‬ ‫זאת‬ ‫את‬ ,‫עמוקה‬ ‫בלמידה‬ ‫אלגוריתמי‬ ‫ידע‬ ‫מלמדת‬ ‫אינה‬ ,‫באינטרנט‬ ‫אלגורי‬ ‫ידע‬ ‫מניחה‬ ‫תמי‬ ‫קיי‬ ‫ם‬ ‫טובה‬ ‫עצמי‬ ‫לימוד‬ ‫ויכולת‬ ‫פערים‬ ‫שיסגרו‬ ‫אלגוריתמיים‬ ( ‫קיימים‬ ‫אם‬ ) ‫עבודה‬ ‫ושיטות‬ ‫כלי‬ ‫ומלמדת‬ . ‫הנלמדים‬ ‫הנושאים‬ ‫בין‬ • Latest industry tools to train, optimize and deploy models on embedded / cloud platforms. • Working with cloud GPU instances and containers • Working with IoT platforms Requirements Candidate must poses a software/ computer / electric engineering degree and a few deep learning vision courses such as stanford 231n and Coursera deeplearning.ai • Good understanding of python programing, OOP and data cleaning • Understanding of network programming and training process • Ability to explain concepts of classifier detector segmentor and box detector • Control of basic OpenCV, Numpy and pandas functions
  2. 2. 2 Beni Berman st, Netanya, Israel | www.dsp-ip.com | info@dsp-ip.com | 0545313092 Syllabus Mandatory The basics: Linux, Basic Scripting, python OOP • Intro to Linux bash commands • C++, make, OpenCV with C++ • Scripting with python: OOP • Group project: Basic Automation script / Make DL / ML Basics • Data cleaning • Data exploration • Basic CNNs: classifier / BBOX detector / Segmentation network • Project: Implementing one of the networks Basic Building blocks • Image and audio sampling • Image Formats & Color Spaces • Image & video compression • Communication & Streaming protocols NVIDIA basics • Gstreamer - programming gstreamer pipe • Nvidia DeepStream video processing course • Cloud academy – docker course • Basic projects: DeepStream on Jetson Nano Intro to MLOps Docker & cloud • Cloud Academy courses: Docker & Kubernetes • NVIDIA NGC • Introduction to AWS • Cloud Academy Courses: IAM, S3, EC2, Lambda • Setting NVIDIA AMI Instance controlling it Sensors • 2D Camera Structure (shutter ISP sensor, filter) • Camera Calibration • Passive stereo camera • IR Projectors / Active stereo • Project: Camera control / camera calibration and image fixing
  3. 3. 2 Beni Berman st, Netanya, Israel | www.dsp-ip.com | info@dsp-ip.com | 0545313092 Topics from the list below according to industrial project: Medical Specialization • Medical Image classification • Medical Image Augmentation with GAN • Data Acceleration with NVIDIA DALI • Medical data and LSTM • Internship related to biomedical Video Analytics and analysis specializing • NVIDIA TensorRT optimization • NVIDIA TLT – Transfer Learning • Advance video analytics projects a. Parking lot b. people counting c. virtual lines d. Secondary inference • Internship related to video analytics NLP Speech and conversational AI specialization • Intro to NLP, basic NLP libraries • NVIDIA Speech and Sound models • NLP & Transformers • NVIDIA Conversational AI • Internship in NLP / conversational AI Robotics / autonomous cars specializing • ROS • Gazibo and simulations • ISAAC • Robotic arm programming • SLAM • Robotic Car • Internship in Autonomous robot/car/drone

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