What I want to say Instructor: Andrew Ng. Deep Learning Specialization Course by Coursera. Offered by DeepLearning.AI. This repository contains the assignments for the Coursera course Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning. Coursera | Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning Week 4 Quiz >> Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning deep-learning-coursera / Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization / Tensorflow Tutorial.ipynb Go to file Go to file T This repo contains all my work for this specialization. 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. Introduction-to-TensorFlow-for-Artificial-Intelligence-Machine-Learning-and-Deep-Learning-Coursera. Code from Coursera Advanced Machine Learning specialization - Intro to Deep Learning - week 2. This course was developed by the TensorFlow team and Udacity as a practical approach to deep learning for software developers. The DeepLearning.AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models.. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, Deep Learning Specialization on Coursera. You'll get hands-on experience building your own state-of-the-art image classifiers and other deep learning … — Andrew Ng, Founder of deeplearning.ai and Coursera Deep Learning Specialization, Course 5 They should have intermediate Python skills (understanding of decorators and context managers is preferred) as well as some experience with any deep learning framework (TensorFlow, Keras, or PyTorch). About TensorFlow TensorFlow is an end-to-end open-source platform for machine learning. This Deep Learning course with Tensorflow certification training is developed by industry leaders and aligned with the latest best practices. Deep Learning Specialization on Coursera. The diagram for traditional programming had Rules and Data In, but what came out? Learners should have a working knowledge of AI and deep learning. 1. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course. TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today. Week 1 Quiz >> Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning. Learners should be proficient in basic calculus, linear algebra, and statistics. Introduction. - antonio-f/MNIST-digits-classification-with-TF---Linear-Model-and-MLP You’ll master deep learning concepts and models using Keras and TensorFlow frameworks and implement deep learning algorithms, preparing you for a career as Deep Learning Engineer. Master Deep Learning, and Break into AI. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML, and developers easily build and deploy ML-powered applications. Learn how to build deep learning applications with TensorFlow. 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