The following lectures look into the hottest DL and ML products and services that are exciting the business world. First the lectures introduce how CNNs used in image/video recognition, recommender systems, natural language processing, and games (like Chess and Go) are made possible through processing in the convolutional layer and feature maps. Which platform providers we partner with to help our clients understand and properly interpret images, video, sounds, voice, text and all forms of unstructured data to get actionable insights. Then the Amazon Echo and Echo Dot products are introduced along with the Alexa cloud based DL personal assistant that uses ASR (Automated Speech Recognition) and NLU (Natural Language Understanding) technology. The third module “Deep Learning Computing Systems & Software” focuses on the most significant DL (Deep Learning) and ML (Machine Learning) systems and software. One of the most widely-discussed deep learning business … Customer Lifetime Value Prediction. Then the extended NN technologies that uses MLP (Multi-Layer Perceptron), SoftMax, and AutoEncoder are explained. Good Introductory course for those from a business background. A new paper published in the Journal of Neural Engineering shows the successful first application of self … This has created a lot of excitement and attracted a lot of attention in recent years. The first lecture introduces the most popular DL open source software TensorFlow, CNTK (Cognitive Toolkit), Keras, Caffe, Theano, and their characteristics. Even though I do not have the background of Computer Engineering or Science I was able to understand from the professor and the final project truly was able to explain everything for me. Due to their popularly, strong influence, and diverse capabilities, the following lectures introduce the details of Google TensorFlow and Microsoft CNTK. Business analytics refers to methods and practices that create value through data for individuals, firms, and organizations. Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. first need to understand that it is part of the much broader field of artificial intelligence Deep learning applications are allowing customer services to … A subset of machine learning, which is itself a subset of artificial intelligence, DL is one way of implementing machine learning … LONDON-- (BUSINESS WIRE)--The deep learning market is expected to grow by $ 7.2 billion, progressing at a CAGR of almost 45% during the forecast period. In the past a few years, deep learning has gained traction in many application areas especially when non-traditional data sources are involved such as text and image. Deep Learning Market Growth Analysis, Demand Forecast, Business Opportunities, Competitor Strategies, Revenue, Company Profiles and Impact of COVID-19 Published: Jan. 5, 2021 at … Customer lifetime value prediction and customer segmentation … The second part focuses on the core technologies of DL and ML systems, which include NN (Neural Network), CNN (Convolutional NN), and RNN (Recurrent NN) systems. Then in Project 4 a “DL NN Design Challenge” is given, where you will need to make the NN “Deeper” by adding hidden layers and neurons to satisfy the classification objectives. First, the “Jeopardy!” winning versatile IBM Watson is introduced along with its DeepQA and AdaptWatson systems that use DL technology. Automating end-to-end customer journey. Except for the NVIDIA DGX-1, the introduced DL systems and software in this module are not for sale, and therefore, may not seem to be important for business at first glance. The last lecture “Characteristics of Businesses with DL & ML” first explains DL and ML based business characteristics based on data types, followed by DL & ML deployment options, the competitive landscape, and future opportunities are also introduced. Yonsei’s main campus is situated minutes away from the economic, political, and cultural centers of Seoul’s metropolitan downtown. But if you have technical skills, then probably another course (Machine Learning from Andrew Ng may be a better one). As the last part of the module, the early model of RNN, which is the FRNN (Fully Recurrent NN), and the currently popular RNN model LSTM (Long Short-Term Memory) is introduced. Then the details of RNN technologies are introduced, which include S2S (Sequence to Sequence) learning, forward RNN, backward RNN, representation techniques, context based projection, and representation with attention. It was very informative, the instructor paces the information very well, & I love the resources at the end of every lecture. 5.1 Deep Learning with CNN (Convolutional Neural Network), 6.1 Introduction to TensorFlow Playground, Construction Engineering and Management Certificate, Machine Learning for Analytics Certificate, Innovation Management & Entrepreneurship Certificate, Sustainabaility and Development Certificate, Spatial Data Analysis and Visualization Certificate, Master's of Innovation & Entrepreneurship. Yes, Coursera provides financial aid to learners who cannot afford the fee. Already, deep learning serves as the enabling technology for many application areas such as autonomous vehicles, smart personal assistants, precision medicine, and much more. Type in a topic service or offering and then hit Enter to search. © 2021 Coursera Inc. All rights reserved. Deep Learning In Business. But the advancements aren’t limited to a few business-specific areas. There are 18 graduate schools, 22 colleges and 133 subsidiary institutions hosting a selective pool of students from around the world. Next, the lectures introduce how DL with RNN is used in speech recognition (as in Apple's Siri, Google’s Voice Search, and Samsung's S Voice), handwriting recognition, sequence data analysis, and program code generation. If you take a course in audit mode, you will be able to see most course materials for free. Learn more. A definition of deep learning with examples. The module “Deep Learning Project with TensorFlow Playground” focuses on four NN (Neural Network) design projects, where experience on designing DL (Deep Learning) NNs can be gained using a fun and powerful application called the TensorFlow Playground. You can try a Free Trial instead, or apply for Financial Aid. As mentioned earlier, deep learning will allow marketers … The next lecture “Why is Deep Learning Popular Now?” explains the changes in recent technology and support systems that enable the DL systems to perform with amazing speed, accuracy, and reliability. 4.1 What is Deep Learning & Machine Learning? The module “Basics of Deep Learning Neural Networks” first focuses on explaining the technical differences of AI (Artificial Intelligence), ML (Machine Learning), and DL (Deep Learning) in the first lecture titled “What is DL (Deep Learning) and ML (Machine Learning).” In addition, the characteristics of CPUs (Central Processing Units) and GPUs (Graphics Processing Units) used in DL as well as the representative computer performance units of FLOPS (FLoating-Point Operations Per Second) and IPS (Instructions Per Second) are introduced. This also means that you will not be able to purchase a Certificate experience. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. Detailed description of each topic coupled with mind blowing graded assignments! :) Thanks a real bunch, Coursera for offering this courses & of course, scholarship! This course was designed to help you build business strategies and enable you to conduct technical planning on new DL and ML services and products. More questions? Deep Learning is the fastest growing field in AI and it’s disrupting every industry. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. For the course “Deep Learning for Business,” the first module is “Deep Learning Products & Services,” which starts with the lecture “Future Industry Evolution & Artificial Intelligence” that explains past, current, and future industry evolutions and how DL (Deep Learning) and ML (Machine Learning… Reset deadlines in accordance to your schedule. Deep Learning Market 2020-2023: Key Findings, Business Trends, COVID – 19 Analysis, Regional Study, Emerging Technologies, Global Segments and Future Prospects Published: Dec. 7, … the last project section was very well done & explained in detail. started a new career after completing these courses, got a tangible career benefit from this course. For the course “Deep Learning for Business,” the first module is “Deep Learning Products & Services,” which starts with the lecture “Future Industry Evolution & Artificial Intelligence” that explains past, current, and future industry evolutions and how DL (Deep Learning) … This has … Next, in the NN (Neural Network) lecture, the biological neuron (nerve cell) and its signal transfer is introduced followed by an ANN (Artificial Neural Network) model of a neuron based on a threshold logic unit and soft output activation functions is introduced. Such architectures can be quite complex with a large … With advanced model-building techniques based on neural networks, it is solving the most challenging cases. Finally, we will look at online and reinforcement learning … When will I have access to the lectures and assignments? Deep learning is a general approach to artificial intelligence that involves AI that acts as an input to other AI. Amazing lectures! Check with your institution to learn more. Deep learning is a complicated process that’s fairly simple to explain. This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. When you purchase a Certificate you get access to all course materials, including graded assignments. In the last lecture of the module, NN learning based on backpropagation is introduced along with the learning method types, which include supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. Overview. Humans produce a massive amount of data, but up to now, we've been unable to use it fully. As we mentioned above, Deep Learning is a concept which processes complex inputs and provides the output based on them. The lecture also introduces how CNNs use subsampling (pooling), LCN (Local Contrast Normalization), dropout, ensemble, and bagging technology to become more efficient, reliable, robust, and accurate. The course may offer 'Full Course, No Certificate' instead. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. 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