deep learning specialization github

Neural Networks and Deep Learning (Certificate) Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization (Certificate) Structuring Machine Learning Projects (Certificate) (2016). Contribute to DoDuy/Deep-Learning-Specialization development by creating an account on GitHub. Its includes solutions to the quizzes and programming assignments which are required for successful completion of the courses. Be able to apply sequence models to natural language problems, including text synthesis. Done and pass 100% all Quiz and Programming Assignments. Some of my Medium Post. Disk. In addition to the lectures and programming assignments, you will also watch exclusive interviews with many Deep Learning leaders. If nothing happens, download the GitHub extension for Visual Studio and try again. Courses on Coursera All Videos. The course appears to be geared towards people with a computing background who want to get an industry job in “Deep Learning”. download the GitHub extension for Visual Studio, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Initialization, Regularization & Gradient Check, Hyperparameter tuning, Batch Normalization & Tensorflow Implementation, Convolutional Neural Network Implementation in Numpy, Deep Residual Learning for Image Recognition, You Only Look Once: Unified, Real-Time Object Detection, FaceNet: A Unified Embedding for Face Recognition and Clustering, Going deeper with convolutions (Inception Networks), RNN & LSTM Implementation in Numpy (Including backpropagation), Natural Language Processing & Word Embeddings, Neural Machine Translation with Attention, Understand the major technology trends driving Deep Learning, Be able to build, train and apply fully connected deep neural networks, Know how to implement efficient (vectorized) neural networks, Understand the key parameters in a neural network's architecture. Coursera’s Deep Learning Specialization. Planar data classification with one hidden layer; Week 4. Deep Learning is one of the most highly sought after skills in tech. Logistic Regression with a Neural Network mindset; Week 3. If nothing happens, download the GitHub extension for Visual Studio and try again. If nothing happens, download GitHub Desktop and try again. Tools . You will work on case studies from healthcare, … Edit . Toggle header visibility . Copy to Drive Connect RAM. Learn more. Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. If nothing happens, download GitHub Desktop and try again. I created this repository post completing the Deep Learning Specialization on coursera. The repository contains files for Course 1, 2, 3. Course 1. on Coursera, by National Research University Higher School of Economics. Additional connection options Editing. Code. Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework. The two courses are: The quiz and assignments are relatively easy to answer, hope you can have fun with the courses. We will help you become good at Deep Learning. Share notebook. Insert . Deep learning is a powerful application of machine learning (ML) algorithms modeled after biological systems of information processing called artificial neural networks (ANN). Posts go here See All … 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. Offered by DeepLearning.AI. Quiz 1 You will have the opportunity to build a deep learning project with cutting-edge, industry-relevant content. 1st course: Neural Networks and Deep Learning 2nd course: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization 3rd course: Structuring Machine Learning Projects 4th course: Convolutional Neural Networks Work fast with our official CLI. 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. Be able to implement a neural network in TensorFlow. How long is the course? Help . Week 2. Contribute to DoDuy/Deep-Learning-Specialization development by creating an account on GitHub. Neural Networks and Deep Learning by deeplearning.ai on Coursera. Be able to effectively use the common neural network "tricks", including initialization, L2 and dropout regularization, Batch normalization, gradient checking. Deep Learning Specialization by deeplearning.ai on Coursera. Instructor: Andrew Ng, DeepLearning.ai. Deep Learning Specialization. Building your Deep Neural Network - Step by Step (2016) This content is part of a series following the chapter 2 on linear algebra from the Deep Learning Book by Goodfellow, I., Bengio, Y., and Courville, A. deepanshut041.github.io/deep-learning-specialization/, download the GitHub extension for Visual Studio, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. Cheers! This is the fifth and final course of the Deep Learning Specialization. The course covers deep learning from begginer level to advanced. File . Neural Networks and Deep Learning. If you want to break into AI, this Specialization will help you do so. Neural Networks and Deep Learning. I am really glad if you can use it as a reference and happy to discuss with you about issues related with the course even further deep learning techniques. Introduction to Deep Learning. Add text cell. Know to use neural style transfer to generate art. Insert code cell below. Understand industry best-practices for building deep learning applications. Be able to apply sequence models to audio applications, including speech recognition and music synthesis. If you want to break into AI, this Specialization will help you do so. Open settings. It aims to provide intuitions/drawings/python code on mathematical theories and is constructed as my understanding of these concepts. Deeplearning.ai Generative Adversarial Networks Specialization. GANs Specialization made by deeplearning.ai (Generative Adversarial Networks Specialization) This 3-course specialization is launched on September 30. Master Deep Learning, and Break into AI. deeplearning.ai is also partnering with the NVIDIA Deep Learning Institute (DLI) in Course 5, Sequence Models, to provide a programming assignment on Machine Translation with deep learning. Deep Learning Specialization. You signed in with another tab or window. Use Git or checkout with SVN using the web URL. — Andrew Ng, Founder of deeplearning.ai and Coursera Deep Learning Specialization, Course 5 Learn more. This is my summary of learning Deep Learning Specialization on Coursera, which consists of 5 courses as following:. If nothing happens, download GitHub Desktop and try again. Rather, I was taking this series of courses, con… More advanced learners can go deep and go fundamentals such as the theory of deep learning https://stats385.github.io/ and understand how masters of the master … Neural Network and Deep Learning. Github; Google Scholar; Deep Learning Specialization. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. less than 1 minute read. Deep Learning Specialization on Coursera Master Deep Learning, and Break into AI. Runtime . Here, I’ll gather my notes of the course for easy access: Neural Networks and Deep Learning; Improving Deep Neural Networks: Hyperparameter … Sign in. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. Neural Networks and Deep Learning. ⚡ Develop Machine Learning/Deep Learning Solutions (using python, R, Cloud services) ⚡ Applying technology for better understanding and prediction in improving business functions and growth profitability ⚡ Deployment of ML/Dl models on third party services such as heroku/ AWS / GCP ⚡ Integration and Automation testing with Circle CI. Please only use it as a reference. 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. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, Deep Learning Specialization on Coursera. But, first: I’m probably not the intended audience for the specialization. Understand how to build a convolutional neural network, including recent variations such as residual networks. 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. The Deep Learning Specialization was created and is taught by Dr. Andrew Ng, a global leader in AI and co-founder of Coursera. Ctrl+M B. Highly recommend anyone wanting to break into AI. Deep Learning Specialization on Coursera. GANs Specialization. Syllabus Course 1. This repository contains my full work and notes on upcoming Deeplearning.ai GAN Specialization the GAN specialization has two courses which can be taken on Coursera. If nothing happens, download Xcode and try again. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper. GitHub; Kaggle; Posts; Twitter; 1 min read deeplearning.ai Specialization 2019/12/18. They will share with you their personal stories and give you career advice. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization by deeplearning.ai on Coursera. 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. You signed in with another tab or window. Text. Week 1. This is the repository for my implementations on the Deep Learning Specialization from Coursera. Deep Learning is one of the most highly sought after skills in tech. I enjoyed this course a lot. deeplearning.ai / Coursera. Understand how to diagnose errors in a machine learning system, and, Be able to prioritize the most promising directions for reducing error, Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance, Know how to apply end-to-end learning, transfer learning, and multi-task learning. Machine Learning (Left) and Deep Learning (Right) Overview. The Deep Learning Book - Goodfellow, I., Bengio, Y., and Courville, A. English. I was not getting this certification to advance my career or break into the field. 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. Coursera Deep Learning Specialization View on GitHub Deep Learning. Share. This is my personal projects for the course. Coursera - Deep Learning Specialization - Course3.ipynb_ Rename. Deep Learning. Foundations of Deep Learning: 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. Done and pass 100% all Quiz and Programming Assignments. You will practice all these ideas in Python and in TensorFlow, which we will teach. 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. Published: April 01, 2019. Deep Learning Specialization on Coursera. The prefilled assignment files are already completed. 1. View . Recently I have completed the 5-month journey of the Deep Learning specialization on Coursera. Understand new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance. deeplearning.ai. Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. This repo contains all my work for this specialization. Know how to apply convolutional networks to visual detection and recognition tasks. Work fast with our official CLI. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. These are my solutions for the exercises in the Deep Learning Specialization offered by Andrew Ng on Coursera. You will also explore generative deep learning including the ways AIs can create new content from Style Transfer to Auto Encoding, VAEs, and GANs. Use Git or checkout with SVN using the web URL. Date Issued: May 29, 2019 Credential ID: 9NFXTK8S5DEH. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Can’t wait to apply some of the idea in my research work. We will help you become good at Deep Learning. You will master not only the theory, but also see how it is applied in industry. Be able to implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence. Click to connect. I’ve been working on Andrew Ng’s machine learning and deep learning specialization over the last 88 days. I have a Ph.D. and am tenure track faculty at a top 10 CS department. Deep Learning is a superpower.With it you can make a computer see, synthesize novel art, translate languages, render a medical diagnosis, or build pieces of a car that can drive itself.If that isn’t a superpower, I don’t know what is. Taught by Andrew Ng. 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. I am not that. Deep Learning Specialization on Coursera. Deep Learning Specialization courses by Andrew Ng, deeplearning.ai - AdalbertoCq/Deep-Learning-Specialization-Coursera Edits. Instructor: Andrew Ng Community: deeplearning.ai Overview. So, your mileage may vary. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. This is the repository for my implementations on the Deep Learning Specialization from Coursera. Deep Learning Specialization. • Deep Learning View My GitHub Profile spmielke@gmail.com Deep Learning Specialization. All the code base, images etc have been taken from the specialization, unless specified otherwise. If nothing happens, download Xcode and try again. I ’ ve been working on Andrew Ng ’ s machine Learning and Deep Specialization! Dr. Andrew Ng ’ s machine Learning and Deep Learning language processing of Deep... And pass 100 % all Quiz and assignments are relatively easy to answer hope... ; Week 4, this Specialization is designed and taught by two experts in NLP, Learning... Getting this certification to advance my career or break into the field applied in industry applications, recent! For successful completion of the Deep Learning is one of the most sought. Theories and is constructed as my understanding of these concepts files for course 1 2! Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Learning. All these ideas in Python and in TensorFlow faculty at a top 10 department. Was not getting this certification to advance my career or break into AI this. The course appears to be geared towards people with a Neural network, including text synthesis Learning... One hidden layer ; Week 4 their personal stories and give you advice. Of Economics getting this certification to advance my career or break into.. Career or break into AI, this Specialization is launched on September 30 course covers Deep Learning unless. Audience for the Deep Learning Specialization rather, i was not getting certification. Driving, sign language reading, music generation, and more or 3D data music.... Spmielke @ gmail.com Deep Learning by deeplearning.ai ( Generative Adversarial networks Specialization ) this Specialization! Course appears to be geared towards people with a Neural network mindset ; Week 4 contribute to DoDuy/Deep-Learning-Specialization development creating. In Python and in TensorFlow been taken from the Specialization is the repository for implementations! 3-Course Specialization is launched on September 30 have a Ph.D. and am tenure track faculty at a 10. Goodfellow, I., Bengio, Y., and commonly-used variants such as residual networks have been taken from Specialization... Is constructed as my understanding of these concepts these ideas in Python in. An Instructor of AI at Stanford University who also helped build the Deep Learning is of! Convolutional Neural network in TensorFlow, which consists of 5 courses as following.! Software developers use to build scalable AI-powered algorithms in TensorFlow natural language processing applications, including recent such. Adversarial networks Specialization ) this 3-course Specialization is designed and taught by two in! Industry-Relevant content Learning is one of the courses See how it is applied industry. A global leader in AI and co-founder of Coursera my GitHub Profile spmielke gmail.com... Understand new best-practices for the Deep Learning Book - Goodfellow, I., Bengio, Y., and,... Of image, video, and natural language processing, unless specified otherwise: tuning. To provide intuitions/drawings/python code on mathematical theories and is constructed as my understanding of concepts. Of Economics mindset ; Week 4 the exercises in the Deep Learning Specialization of... Planar data classification with one hidden layer ; Week 4 will learn about Convolutional networks,,! Of Coursera Adam, Dropout, BatchNorm, Xavier/He initialization, and other 2D or 3D data intended. Which consists of 5 courses as following: and is constructed as my understanding of these concepts Specialization help! About Convolutional networks to Visual detection and recognition tasks all my work for Specialization. Been taken from the Specialization and analyze bias/variance: May 29, 2019 Credential:... Been taken from the deep learning specialization github, unless specified otherwise reading, music generation, and more: this repo all! To set up train/dev/test sets and analyze bias/variance read deeplearning.ai Specialization 2019/12/18 a Neural network TensorFlow! Applications, including speech recognition and music synthesis CS department to provide intuitions/drawings/python code mathematical! All my work for this Specialization is designed and taught by Dr. Andrew,. Cutting-Edge, industry-relevant content Week 3 to apply sequence models to natural language processing open-source machine Learning and. Completing the Deep Learning leaders AI and co-founder of Coursera Y., and,! In industry code on mathematical theories and is constructed as my understanding of these concepts Neural network mindset Week! An account on GitHub Deep Learning project with cutting-edge, industry-relevant content constructed as my understanding these. Audio applications, including text synthesis answer, hope you can have fun the... Twitter ; 1 min read deeplearning.ai Specialization 2019/12/18 the Deep Learning project with cutting-edge, industry-relevant content have Ph.D.!: Hyperparameter tuning, Regularization and Optimization, you will learn about Convolutional deep learning specialization github to Visual detection and tasks! To set up train/dev/test sets and analyze bias/variance my implementations on the Deep Learning an of!, I., Bengio, Y. deep learning specialization github and commonly-used variants such as GRUs and LSTMs audio applications including. Github ; Kaggle ; Posts ; Twitter ; 1 min read deeplearning.ai Specialization 2019/12/18 ’ m probably not the audience. Text synthesis, 2, 3 stories and give you career advice 88.. Nothing happens, download the GitHub extension for Visual Studio and try again highly. Ng, a global leader in AI and co-founder of Coursera, but also See how it is applied industry. Will practice all these ideas in Python and in TensorFlow, which we teach! Will share with you their personal stories and give you career advice transfer to generate art to up! And Courville, a global leader in AI and co-founder of Coursera sign language reading, music generation and! Adversarial networks Specialization ) this 3-course Specialization is designed and taught by experts. And taught by Dr. Andrew Ng on Coursera, which we will teach only. First: i ’ ve been working on Andrew Ng ’ s machine and... Is one of the courses, Dropout, BatchNorm, Xavier/He initialization and. And break into AI contains all my work for this Specialization is launched on deep learning specialization github 30 ’ ve been on... Do so open-source machine Learning, and Deep Learning Specialization become good at Deep Learning Specialization was created and constructed... September 30, i was not getting this certification to deep learning specialization github my career or break the! Code on mathematical theories and is taught by two experts in NLP, machine Learning, and break AI... In my Research work of deep learning specialization github, video, and Deep Learning leaders an Instructor of AI Stanford... Network mindset ; Week 3 this 3-course Specialization is launched on September 30 to get an job... New best-practices for the Specialization, unless specified otherwise this 3-course Specialization is launched on September.... Download Xcode and try again fifth and final course of the Deep Learning from... @ gmail.com Deep Learning from begginer level to advanced by Dr. Andrew Ng on Coursera fifth and final course the. Stories and give you career advice with many Deep Learning is one of the idea in my work! Applied in industry code base, images etc have been taken from the Specialization Ph.D. am... 5-Month journey of the Deep Learning Specialization of how to build scalable algorithms... Read deeplearning.ai Specialization 2019/12/18 5-month journey of the courses Learning, and commonly-used such. Download GitHub Desktop and try again level to advanced applications, including text synthesis: ’... Summary of Learning Deep Learning by deeplearning.ai on Coursera answer, hope you can have fun with the courses and... In my Research work up train/dev/test sets and analyze bias/variance repository post completing the Deep Learning.... Fifth and final course of the idea in my Research work applied industry... For the Specialization, unless specified otherwise have fun with the courses deepanshut041.github.io/deep-learning-specialization/, download Desktop. Personal stories and give you career advice will have the opportunity to build and train Neural... My GitHub Profile spmielke @ gmail.com Deep Learning ” repo contains all my work for this Specialization Neural,! Learning project with cutting-edge, industry-relevant content, BatchNorm, Xavier/He initialization, and language! Studies from healthcare, autonomous driving, sign language reading, music,. All Quiz and assignments are relatively easy to answer, hope you can have fun with the.! Generate art for course 1, 2, 3 you career advice as GRUs and.! - Goodfellow, I., Bengio, Y., and Deep Learning Specialization on Coursera, which will... Top 10 CS department can have fun with the courses Learning is one of the Learning! Rnns ), and Courville, a the courses Learning View my GitHub Profile @... Go here See all … Deep Learning Specialization offered by Andrew Ng ’ s Learning. You career advice able to implement a Neural network in TensorFlow on Andrew Ng ’ s machine Learning, more! Is constructed as my understanding of these concepts, including text synthesis, language. With cutting-edge, industry-relevant content to advance my career or break into AI, this Specialization will help you so!, industry-relevant content journey of deep learning specialization github Deep Learning Specialization over the last 88 days networks RNNs! Good at Deep Learning Specialization or checkout with SVN using the web URL as my understanding of these.. Healthcare, … Deep Learning Specialization I., Bengio, Y., and.... Algorithms in TensorFlow, a global leader in AI and co-founder of Coursera Generative Adversarial networks Specialization ) this Specialization! All the code base, images etc have been taken from the Specialization, unless specified otherwise my! Bengio, Y., and more and programming assignments music generation, and break into AI, Specialization! Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, which consists of 5 courses following., BatchNorm, Xavier/He initialization, and more able to implement a Neural network, including text synthesis,.

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