Udemy – Deep Learning with TensorFlow 2.0 [2020] 2020-11

Description

Deep Learning with TensorFlow 2 is the name of a set of video tutorials in the field of development, programming and data science. In fact, in this training course, you will start learning Deep Learning with the help of Tensorflow Library. In this training course, you will start building and developing deep learning knowledge algorithms with version 2 of Tensorflow. In this course, you will also become familiar with the Google TensorFlow and NumPy tools for creating and understanding Deep Learning algorithms and gain sufficient mastery.

You will also learn the skill of exploring layers well as a student in this course. On the other hand, you will understand the process of backpropagation processing directly and mathematically. Also, in this training course, you will learn the material from the elementary level. Content is provided to you in a principled and gradual manner. You will also significantly improve your neural network skills by the end of this course. Also at the end of this course you will find yourself ready to take the recruitment exams.

Items that will be taught in this course

In-depth understanding of the TensorFlow library

Learn how to create Deep Learning algorithms from scratch

Familiarity with how deep learning algorithms work and mathematics

Learn how to encrypt before doing anything else

Remarkable familiarity with Google TensorFlow and NumPy tools

Deep Learning with TensorFlow 2 course specifications

English language

Duration: 5 hours and 55 minutes

Number of courses: 111

Instructor: 365 Careers

File format: mp4

Prerequisite

Some basic Python programming skills Youll need to install Anaconda. We will show you how to do it in one of the first lectures of the course. All software and data used in the course are free.

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

Changes:

Version 2020/11 has not changed in number of courses and total time compared to 2020/1, but has increased in size by about 40 MB.