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Artificial Intelligence - TensorFlow Machine Learning - Panter - 16.09.2020 Artificial Intelligence - TensorFlow Machine Learning Video: .mp4 (1280x720, 30 fps®) | Audio: aac, 48000 Hz, 2ch | Size: 9 GB Genre: eLearning Video | Duration: 70 lectures (9 hour, 21 mins) | Language: English AI and Machine Learning from theory to the required hands-on experience by using latest TensorFlow JavaScript framework What you'll learn Understand Machine Learning from basics Understand the basics of a neural network Understand basics of Tensor operations for Tensorflow Create project using Polynomial Regression Create basic HTML, Javascript projects Use JSFiddle to create Javascript applets Use NodeJs to create comprehensive machine learning projects Requirements Interest about Machine Learning Wanting to learn Artificial Intelligence on the world's most used platform Interest about Tensorflow Description This course teaches machine learning from the basics so that you can get started with created amazing machine learning programs. With a well structured architecture, this course is divided into 4 modules: Theory section: It is very important to understand the reason of learning something. The need for learning machine learning and javascript in this particular case is explained in this section. Foundation section: In this section, most of the basic topics required to approach a particular problem are covered like the basics of javascript, what are neural networks, dom manipulation, what are tensors and many more such topics Practice section: In this section, you put your learnt skills to a test by writing code to solve a particular problem. The explanation of the solution to the problem is also provided in good detail which makes hands-on learning even more efficient. Project section: In this section, we build together a full stack project which has some real life use case and can provide a glimpse on the value creation by writing good quality machine learning programs Happy Coding, Vinay Phadnis :) Who this course is for: Beginners: Getting started with Tensorflow Intermediates: Learn by having an integrated platform Experts: Further polishing your skills |