Mastering Neural Style Transfer: Tensorflow, Keras & Python

Hands-on Neural Style Transfer: Creating Artistic Images using Tensorflow, Keras, Python, and Google Colab

What you'll learn

Understand Neural Style Transfer and its application in combining content and style in images.

Learn to implement Neural Style Transfer algorithms using Python and Keras.

Gain proficiency in image preprocessing techniques and using pre-trained models like VGG19.

Understand the concept of loss functions and their role in style transfer optimization.

Acquire skills in optimizing style transfer using an optimizer with learning rate decay.

Learn to save and display generated images during the optimization process.

Gain practical experience in implementing Neural Style Transfer algorithms.

Requirements

Familiarity with Python programming language (basic knowledge is sufficient)

Description

Welcome to the exciting world of Neural Style Transfer! In this comprehensive course, you will embark on a journey to master the art of transforming ordinary images into captivating artworks using cutting-edge techniques. Harness the power of Google Colab, Tensorflow, Keras, and Python to unlock your creativity and unleash the potential of Neural Style Transfer.Throughout this course, you will delve deep into the fascinating realm of artistic image generation. From understanding the fundamentals of Neural Style Transfer to exploring advanced generative adversarial networks, you will gain the knowledge and skills needed to create stunning visual masterpieces.Guided by industry experts, you will learn to leverage the power of Google Colab's cloud computing capabilities to seamlessly execute resource-intensive tasks, allowing you to focus on unleashing your creativity without worrying about hardware limitations.By the end of this course, you will not only possess a deep understanding of Neural Style Transfer and its practical implementation, but you will also have a captivating portfolio of artistic images to showcase your skills. With the demand for AI-driven image manipulation on the rise, this course will equip you with the expertise sought after by employers across various industries.Prepare to step into a world of endless creative possibilities and embark on a rewarding career journey. Enroll now and unlock the door to exciting job opportunities in fields such as graphic design, advertising, entertainment, and more. Let your artistic vision take flight as you become a master of Neural Style Transfer!

Overview

Section 1: Fundamentals

Lecture 1 Introduction

Lecture 2 What is Neural Style Transfer?

Lecture 3 About this Project

Lecture 4 Why Should we Learn?

Lecture 5 Applications

Lecture 6 Why Keras and Python?

Lecture 7 Why Google Colab?

Section 2: Model Building and Prediction

Lecture 8 Setup the Working Directory

Lecture 9 Contents in Directory

Lecture 10 Activate GPU

Lecture 11 Checking the availability and usage of GPUs

Lecture 12 Mount Google Drive to Google Colab

Lecture 13 Necessary library imports

Lecture 14 Setting the directory path

Lecture 15 Displaying the base image and the style reference

Lecture 16 Defining the desired dimensions

Lecture 17 Preprocesses an image

Lecture 18 Convert the generated image back to its original format

Lecture 19 Calculate the Gram matrix

Lecture 20 Calculates the style loss

Lecture 21 Calculates the content loss

Lecture 22 Calculates the total variation loss

Lecture 23 Loading the VGG19

Lecture 24 Creating a dictionary

Lecture 25 Building a feature extraction model

Lecture 26 Define the names of the style layers and the content layer

Lecture 27 Set the weights

Lecture 28 Calculates the total loss

Lecture 29 Computes the loss and gradients

Lecture 30 Set up the optimizer

Lecture 31 Preprocess the base image, style reference image, and combination image

Lecture 32 Perform the style transfer optimization loop

Lecture 33 Save and display the final generated image

Beginners interested in deep learning and computer vision,Students studying computer science, artificial intelligence, or related fields,Professionals looking to enhance their skills in neural style transfer and generative adversarial networks,Developers interested in learning how to implement image processing techniques using Python and Keras,Individuals with a curiosity for creative applications of artificial intelligence in the field of image generation and style transfer