Udemy - Convolutional Neural Networks with TensorFlow in Python

[ FreeCourseWeb.com ] Convolutional Neural Networks with TensorFlow in Python



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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz

Language: English | SRT | Size: 2.20 GB | Duration: 4h 43m

What you'll learn

Learn the fundamentals of Convolutional Neural Networks

Perform Computer Vision and Machine Learning tasks

Master working with TensorFlow and Tensorboard

Understand kernels

Get the hang of convolution and its role in CNNs

Get familiar with L2 regularization and weight decay

Grasp the concept of dropout

Visualize networks and metrics using Tensorboard

Approach multilabel classification

Gain experience from a big real-world practical example

Convert Images into Tensors

Explore the concepts behind popular state-of-the-art CNN architectures

Requirements

Python 3 and the Anaconda distribution

Basic to Intermediate Python knowledge

Understanding of Feed-forward neural networks

Basic familiarity with TensorFlow 2

Curiosity and enthusiasm to learn and practice

Description

Are you a Deep Learning enthusiast who is now looking for their next challenge?



Are you interested in the field of Computer Vision and the ability of machines to extract insightful information from visuals and images?



Do you want to learn a valuable skill to put yourself ahead of the competition in this AI-driven world?



If you answered with “yes” to any of these questions, you have come to the right place and at the right time!



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