Applied Deep Learning with TensorFlow – A practical Approach | Software Engineering Online Course by Udemy

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An in-depth study on Deep Learning and how to implement Neural Networks in TensorFlow from scratch.

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Applied Deep Learning with TensorFlow – A practical Approach

Artificial Intelligence, deep learning, machine learning whatever youre doing if you dont understand it learn it. Because otherwise, youre going to be a dinosaur within 3 years. ~Mark CubanHow will You benefit from this Free Course?This course has one goal: Teaching you how Artificial Neural Networks work at a low level and how to implement them from scratch using TensorFlow. How are We going to do that?We will address all necessary theory behind artificial neural networks. This involves all processes and mathematical operations that are happening inside a neural network. Still, we won’t focus on mathematics to much – rather on conceptual understanding of the processes. This is a very practical course. All theories will be put directly into practice. For this, we are going to use Python, some external libraries and TensorFlow – the most popular and advanced Deep Learning library. To summarize, you will learn: Mathematics and processes behind Artificial Neural NetworksBasic and more advanced functionalities of TensorFlowHow to implement Neural Networks in TensorFlow from scratch. High Demand for Deep Learning EngineersDeep Learning is a very young and exciting field and the best approach to what we can call genuine Artificial Intelligence. In the coming years, this technology will have a significant impact on society, industry, and our day to day lives, and change them for the better. On the one hand, we have these great opportunities, on the other hand, we may not be able to take advantage of these opportunities. This is because the number of people who can actually implement Deep Learning Solutions in practice is very limited. This shortage of qualified people with hands-on, practical knowledge slows down the progress of AI. At the same time companies skyrocket the salaries to acquire people with the right knowledge: There are about 300,000 AI practitioners and researchers worldwide, but millions of roles are available for people with these qualifications. A report by the Chinese technology company TecentShortage of AI-trained engineers and developers is persisting. Lack of skilled people is the number one bottleneck in the adoption of AI solutions. “How Companies Are Putting AI to Work Through Deep Learning”, OReilly Report Paper, 2018While the average salary for a programmer is around $100,000 to $150,000, to make the big money you want to be an AI engineer with an avg. salary of $169,930 per year. Indeed, com, 2018

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