Tensorflow 2.0: Deep Learning and Artificial Intelligence
Google's deep learning and artificial intelligence library is called Tensorflow. The most widely used deep learning library in the world, Tensorflow, was created by Google, whose parent firm Alphabet just overtook Apple as the richest business in terms of cash. It is the preferred library for many businesses engaged in AI and machine learning.
In other words, you must be familiar with Tensorflow if you wish to perform deep learning. You will begin this course with some very fundamental machine learning models before moving on to cutting-edge ideas. All of the key deep learning architectures, including Deep Neural Networks, Convolutional Neural Networks (for image processing), and Recurrent Neural Networks, will be covered along the way (sequence data).
In addition to brand-new applications that have never been done before, such as time series forecasting and market forecasts, you will still learn how to update your old code to utilize Tensorflow 2.0. This course has "in-depth" portions if you want to delve a bit further into the theory, but it is also aimed for those who want to learn quickly (like what is a loss function, and what are the different types of gradient descent approaches).
Requirements:
- Know how to code in Python and Numpy
- For the theoretical parts (optional), understand derivatives and probability
Who this course is for:
- Beginners to advanced students who want to learn about deep learning and AI in Tensorflow 2.0
Course Rating: 4.7/5
Enroll here: https://www.udemy.com/course/deep-learning-tensorflow-2/
