Practical Deep Learning For Coders

Overview Learn how to build state of the art models without needing graduate-level mathbut also without dumbing anything down. This 7-week course is designed for anyone with at least a year of coding experience, and some memory of high-school math. You will start with step onelearning how to get a GPU server online suitable for deep learningand go all the way through to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.

Beginner 0(0 Ratings) 0 Students enrolled English
Created by Admin corner
Last updated Wed, 08-Jun-2022
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Course overview
Lecture Details

NB: Please go to http://course.fast.ai to view this video since there is important updated information there. If you have questions, use the forums at http://forums.fast.ai

Welcome to the start of your fast.ai journey! In today’s lesson you’ll set up your deep learning server, and training your first image classification model (a convolutional neural network, or CNN), which will learn to distinguish dogs from cats nearly perfectly. If you need help at any time, head over to forums.fast.ai where over a thousand students are discussing the course and have provided lots of tips and tricks for you.

Curriculum for this course
7 Lessons 14:55:05 Hours
Lecture
7 Lessons 14:55:05 Hours
  • Lesson 1: Deep Learning 2018
    Preview 01:26:35
  • Lesson 2: Deep Learning 2018
    02:07:30
  • Lesson 3: Deep Learning 2018
    02:16:37
  • Lesson 4: Deep Learning 2018
    02:14:31
  • Lesson 5: Deep Learning 2018
    02:18:39
  • Lesson 6: Deep Learning 2018
    02:13:42
  • Lesson 7: Deep Learning 2
    02:17:31
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