Udemy – Deep Learning with TensorFlow 2.0 [2020] 2020-1

Description

Deep Learning with TensorFlow 2.0 [2020] is an in-depth learning course with the TensorFlow framework. We often hear about artificial intelligence, self-driving algorithmic magic on Google, Facebook and Amazon. But there is no magic, and all this is done by deep learning. In the Deep Learning with TensorFlow 2.0 course [2020] course instructors guide you all the way to becoming an expert in deep learning. This training course uses the powerful TensorFlow framework. Using this framework, you can create a variety of machine learning models professionally and painlessly. Prerequisite for starting this course is basic knowledge in Python programming.

Items that are taught in this course

Strong understanding of the TensorFlow framework

Build robust machine learning algorithms from scratch using Python

Understand the mathematics behind deep learning algorithms

Understand backup processing, random reduction gradient, classification, momentum and

Course information

Publisher: Udemy

Instructor: 365 Careers

Level: Basic to Advanced

Duration: 05:55:20

Number of lessons: 111 lessons

English language

Topics

111 lectures 05:55:20

Welcome! Course introduction 3 lectures 11:23

Introduction to neural networks 13 lectures 42:56

Setting up the working environment 9 lectures 21:51

Minimal example – your first machine learning algorithm 5 lectures 20:31

TensorFlow – An introduction 8 lectures 23:10

Going deeper: Introduction to deep neural networks 8 lectures 25:23

Backpropagation. A peek into the Mathematics of Optimization 1 lecture 00:20

Overfitting 6 lectures 19:36

Initialization 3 lectures 08:04

Gradient descent and learning rates 7 lectures 20:40

Preprocessing 5 lectures 14:33

The MNIST example 13 lectures 38:02

Business case 12 lectures 39:20

Appendix: Linear Algebra Fundamentals 11 lectures 51:01

Conclusion 6 lectures 17:36

Bonus lecture 1 lecture 00:50

Prerequisites

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

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English subtitle

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