[ FreeCourseWeb ] Udemy - Deep Learning in Practice I - Basics and Dataset Design

[ FreeCourseWeb.com ] Deep Learning in Practice I: Basics and Dataset Design

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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 2.49 GB | Duration: 4.5 hours
What you'll learn
Develop complex deep learning projects
Efficiently organize and structure deep learning projects
Develop reusable libraries to reduce development time of deep learning projects
Understand how to perform efficient training of classification projects
Evaluate the performance of deep learning models
Load datasets in numpy array in different ways
Conduct training on local machine and Google Colab
Design a dataset from data collection to HDF5 partitioned dataset
Requirements
Understand the basic concepts of machine learning (recommended, but not required)
Be familiar with Python programming language and data structures (Numpy, Pandas)
Understand the basic concepts of neural networks (recommended, but not required)
Description
You want to start developing deep learning solutions, but you do not want to lose time in mathematics and theory?

You want to conduct deep learning projects, but do not like the hassle of tedious programming tasks?

Do you want an automated process for developing deep learning solutions?

This course is then designed for you! Welcome to Deep Learning in Practice, with NO PAIN!

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