These are my solutions for the exercises in the Deep Learning Specialization offered by Andrew Ng on Coursera. I completed and was certified in the five courses of the specialization during late 2018 and early 2019. Lecture Slides can be found in my Github. Disk. And I have for you some questions (10 to be specific) to solve. In addition to the lectures and programming assignments, you will also watch exclusive interviews with many Deep Learning leaders. If you find any errors, typos or you think some explanation is not clear enough, please feel free to add a comment. Add text cell. This Specialization, thus, provides comprehensive educational materials to equip you with the tools to build your own GANs and dive deeper into advanced research. Do try your best. Posts go … Insert . Deep Learning Specialization by deeplearning.ai on Coursera. Instructor, Alama Initiative, Egypt, 2018 I volunteered to teach deep learning concepts for a group of 20 undergrad and grad students taking Coursera’s deep-learning specialization following up with their progress throughout the courses. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Ctrl+M B. Setup This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. I’ve endeavored to create a cohesive, accessible, and engaging learning environment – what I would’ve wanted for myself when I was breaking into this space. The Deep Learning Specialization was created and is taught by Dr. Andrew Ng, a global leader in AI and co-founder of Coursera. Week 2. Insert code cell below. Professional Certifications and Specializations • Machine Learning • IBM Data Science • Deep Learning View My GitHub Profile spmielke@gmail.com Edit . This helps me improving the quality of this site. The second course will deepen your knowledge and skills with TensorFlow, in order to … Read more » Coursera PU 程序设计与算法 Specialization. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. Click here to see more codes for Raspberry Pi 3 and similar Family. Logistic Regression with a Neural Network mindset; Week 3. Coursera’s Deep Learning Specialization. They will share with you their personal stories and give you career advice. Click here to see more codes for NodeMCU ESP8266 and similar Family. Planar data classification with one hidden layer; Week 4. Deep learning is part of a bigger family of machine learning. Quiz 1, try 2 In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. Courses (Toronto) CSC2541: Visual Perception for Autonomous Driving, Winter 2016 Through five interconnected courses, learners develop a profound knowledge of the hottest AI algorithms, mastering deep learning from its … Anastasiia Kim. Tools . File . To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization. Deep Learning (5/5): Sequence Models. Click to connect. This page uses Hypothes.is. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the … handong1587's blog. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. Runtime . Share notebook. Coursera Deep Learning Specialization View on GitHub Deep Learning. Upon completion of 7 courses you will be … Share. Machine learning is a powerful tool for … You will work on case … less than 1 minute read. Click here to see solutions for all Machine Learning Coursera Assignments. INSTRUCTORS. These courses go beyond the foundations of deep learning to teach you the nuances in applying AI to medical use cases. 52 Minute Read. Explore generative deep learning including the ways AIs can create new content from Style Transfer to Auto Encoding, VAEs, and GANs. Posted on 2017-09-26 | | Visitors . Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework. Offered by DeepLearning.AI. Can’t wait to apply some of the idea in my research work. View . How long is the course? He is a former programmer and analyst at NASA, NASA Postdoctoral Program fellow, NIH National Research Service Award recipient, and AAAS Mass Media fellow. In this four-course Specialization, you’ll explore exciting … Introduction to Deep Learning. All the code base, images etc have been taken from the specialization, unless specified otherwise. Read more » Summary: Online Courses … This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. Copy to Drive Connect RAM. IBM: Applied Data Science Capstone Project. Additional connection options Editing. deeplearning.ai - TensorFlow in Practice Specialization; deeplearning.ai - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning. This Specialization will give you practical experience in applying machine learning to concrete problems in medicine. Text. These are my solutions for the exercises in the Introduction to Deep Learning course that is part of the Advanced Machine Learning Specialization on Coursera. Recently I have completed the 5-month journey of the Deep Learning specialization on Coursera. You can annotate or highlight text directly on this page by expanding the bar on the right. Feel free to ask doubts in the comment section. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Deep Learning Specialization By Andrew Ng has become a classical choice for anyone starting with deep learning but is it really worth the time and the effort? Neural Networks and Deep Learning. About you This Specialization is for early and mid-career software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced … Structuring Machine Learning … Notes For detailed interview-ready notes on all courses in the Coursera Deep Learning specialization, refer www.aman.ai. Toggle header visibility . For quick search Coursera can be found here. Albuquerque, New Mexico, US; Email; Github; Deep Learning specialization. If you want to break into AI, this Specialization will help you do so. Some of my Medium Post. Instructor: Andrew Ng. About you This Specialization is for software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build … Ph.D. candidate in Statistics, University of New Mexico. This three-course Specialization will give you practical experience in applying machine learning to concrete problems in medicine. You will also explore generative deep learning including the ways AIs can create new content from Style Transfer to Auto Encoding, VAEs, and GANs. deeplearning.ai - TensorFlow in Practice Specialization. Instructors: Laurence Moroney. We will help you become good at Deep Learning. – A slide from one of the first lectures – These are a few comments about my experience of taking the Deep Learning specialization produced by deeplearning.ai and delivered on the Coursera platform. For quick search Coursera can be found here. Click here to see more codes for Arduino Mega (ATMega 2560) and similar Family. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. Topics covered: IBM: Machine Learning with Python. Deep Learning Specialization on Coursera (offered by deeplearning.ai) Programming assignments and quizzes from all courses in the Coursera Deep Learning specialization offered by deeplearning.ai. Quiz 1, try 1. Neural Networks and Deep Learning by deeplearning.ai on Coursera. Quiz & Assignment of Coursera View project on GitHub. Follow. Code. Over the next few days, I’ll go over (this time I am paying and thus have access to the exams :)) the deeplearning.ai Coursera Specialization. deeplearning.ai - Convolutional Neural Networks in TensorFlow Deep Learning The Deep Learning Specialization is designed to prepare learners to participate in the development of cutting-edge AI technology, and to understand the capability, the challenges, and the consequences of the rise of deep learning. This repo contains all the code base, quiz questions, screenshot, and images, are taken from, unless specified, Deep Learning Specialization on Coursera. Open settings. [Update] Course 3: Date Pipelines with TensorFlow Data Service was refreshed in October 2020. The course typically takes … GitHub; Kaggle; Posts; Twitter; 1 min read deeplearning.ai Specialization 2019/12/18. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization by deeplearning.ai on Coursera. 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