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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