Udemy – Deep Learning with Python and Keras 2018-12

Description

Deep Learning with Python and Keras is a training course from the Udemy site that introduces you to in-depth learning and teaches you how to create different models for images and text using the Python language and the Keras library. This course is designed for beginner and intermediate level programmers and those who are familiar with Python and helps them to learn deep learning techniques well and use them in solving various problems.

At the beginning of the course, you will get acquainted with the basics of this science by viewing a Deep Learning application, and you will also become familiar with machine learning tools and techniques. Then you learn artificial neural networks and learn how to use them to solve regression and classification problems. The course instructor then introduces various architectures such as reversing neural networks, torsional neural networks, and fully connected networks, and explains various examples of them theoretically and practically. At the end of the course you will be able to identify problem solving through in-depth learning and design different neural network models.

Items that will be taught in this course

Familiarity with deep learning

Use deep learning to build predictable models

Use deep learning in various applications

Use Python and Keras to build deep learning models

Solve various problems with the help of deep learning

Practice and run models in the cloud with the help of GPU

Estimate training costs for large models

Profile of Deep Learning with Python and Keras

English language

Duration: 9 hours and 56 minutes

Number of courses: 148

Level of education: Intermediate

Instructor: Data Weekends, Jose Portilla, Francesco Mosconi

File format: mp4

Topics

148 lectures 09:56:50

Welcome to the course! 8 lectures 37:12

Data 18 lectures 01:04:58

Machine Learning 22 lectures 02:04:11

Deep Learning Intro 17 lectures 01:16:39

Gradient Descent 26 lectures 01:45:14

Convolutional Neural Networks 23 lectures 01:20:33

Cloud GPUs 2 lectures 01:14

Recurrent Neural Networks 13 lectures 45:13

Improving performance 19 lectures 01:01:41

Prerequisite

Knowledge of Python, familiarity with control flow (if/else, for loops) and pythonic constructs (functions, classes, iterables, generators)

Use of bash shell (or equivalent command prompt) and basic commands to copy and move files

Basic knowledge of linear algebra (what is a vector, what is a matrix, how to calculate dot product)

Use of ssh to connect to a cloud computer

Installation

After Extract, watch with your favorite Player.

Subtitle: Yes

Quality: 720p