Sign in. 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. Copy to Drive Connect RAM. Deep Learning is one of the most highly sought after skills in tech. Deep Learning. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. ⚡ 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. 1. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, Deep Learning Specialization on Coursera. Introduction to Deep Learning. How long is the course? 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. Neural Networks and Deep Learning. This is the repository for my implementations on the Deep Learning Specialization from Coursera. Deep Learning Specialization on Coursera Master Deep Learning, and Break into AI. Runtime . Instructor: Andrew Ng, DeepLearning.ai. on Coursera, by National Research University Higher School of Economics. 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. This is my personal projects for the course. All the code base, images etc have been taken from the specialization, unless specified otherwise. Contribute to DoDuy/Deep-Learning-Specialization development by creating an account on GitHub. Published: April 01, 2019. Neural Networks and Deep Learning (Certificate) Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization (Certificate) Structuring Machine Learning Projects (Certificate) Be able to apply sequence models to natural language problems, including text synthesis. 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. Code. File . Machine Learning (Left) and Deep Learning (Right) Overview. You signed in with another tab or window. 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. Neural Networks and Deep Learning. Logistic Regression with a Neural Network mindset; Week 3. GANs Specialization made by deeplearning.ai (Generative Adversarial Networks Specialization) This 3-course specialization is launched on September 30. Here, I’ll gather my notes of the course for easy access: Neural Networks and Deep Learning; Improving Deep Neural Networks: Hyperparameter … Rather, I was taking this series of courses, con… Deep Learning Specialization. Done and pass 100% all Quiz and Programming Assignments. Use Git or checkout with SVN using the web URL. Highly recommend anyone wanting to break into AI. 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. Open settings. If nothing happens, download GitHub Desktop and try again. (2016). If you want to break into AI, this Specialization will help you do so. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. 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. Deep Learning is one of the most highly sought after skills in tech. Deep Learning Specialization courses by Andrew Ng, deeplearning.ai - AdalbertoCq/Deep-Learning-Specialization-Coursera Course 1. 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. Understand how to build and train Recurrent Neural Networks (RNNs), and commonly-used variants such as GRUs and LSTMs. The course covers deep learning from begginer level to advanced. If nothing happens, download Xcode and try again. Offered by DeepLearning.AI. Use Git or checkout with SVN using the web URL. Deep learning is a powerful application of machine learning (ML) algorithms modeled after biological systems of information processing called artificial neural networks (ANN). Deep Learning Specialization on Coursera. Ctrl+M B. Be able to effectively use the common neural network "tricks", including initialization, L2 and dropout regularization, Batch normalization, gradient checking. Share notebook. I enjoyed this course a lot. Date Issued: May 29, 2019 Credential ID: 9NFXTK8S5DEH. You will practice all these ideas in Python and in TensorFlow, which we will teach. I created this repository post completing the Deep Learning Specialization on coursera. View . If you want to break into AI, this Specialization will help you do so. Contribute to DoDuy/Deep-Learning-Specialization development by creating an account on GitHub. Neural Network and Deep Learning. If nothing happens, download the GitHub extension for Visual Studio and try again. Understand industry best-practices for building deep learning applications. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Cheers! We will help you become good at Deep Learning. deeplearning.ai. Can’t wait to apply some of the idea in my research work. Learn more. Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. Insert code cell below. Coursera Deep Learning Specialization View on GitHub Deep Learning. 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 … 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. I was not getting this certification to advance my career or break into the field. It aims to provide intuitions/drawings/python code on mathematical theories and is constructed as my understanding of these concepts. I’ve been working on Andrew Ng’s machine learning and deep learning specialization over the last 88 days. Deep Learning Specialization. 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. (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. Additional connection options Editing. Week 1. Edit . Its includes solutions to the quizzes and programming assignments which are required for successful completion of the courses. Planar data classification with one hidden layer; Week 4. Deep Learning Specialization. It is applied in industry, images etc have been taken from the,... A Ph.D. and am tenure track faculty at a top 10 CS department my deep learning specialization github break! Have fun with the courses top 10 CS department my solutions for the Deep Specialization., Adam, Dropout, BatchNorm, Xavier/He initialization, and more on September 30 Learning one. And music synthesis: May 29, 2019 Credential ID: 9NFXTK8S5DEH: Hyperparameter tuning, Regularization and Optimization a... 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