Building Deep Learning Applications with Keras

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Isil Berkun

1:50:30

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01 - Introduction

01 - Reshaping the world with deep learning.mp4

00:55

02 - Essential background and knowledge.mp4

01:15

03 - How to use Codespaces and the exercise files.mp4

03:46

02 - 1. Understanding Keras

01 - Understanding deep learning and Keras.mp4

06:27

02 - Neuron as we know it.mp4

06:45

03 - Exploring the TensorFlow and Theano backends.mp4

02:40

04 - Distinction between Keras and TensorFlow.mp4

03:30

03 - 2. Setting up Keras

01 - Keras installation with a TensorFlow backend on Windows.mp4

04:06

04 - 3. Getting Started with Keras Models

01 - The Train-Test-Evaluate cycle.mp4

04:03

02 - Introduction to the Keras Sequential API.mp4

03:10

03 - Data pre-processing for training.mp4

10:58

04 - Building a model using the Sequential API.mp4

06:44

05 - 4. Model Training and Performance Analysis

01 - Training models.mp4

02:53

02 - Model predictions and evaluation.mp4

09:54

03 - Visualize results and save the model.mp4

08:55

06 - 5. Leveraging Pre-Trained Models in Keras

01 - Exploring pre-trained models.mp4

03:52

02 - Image recognition with the ResNet50 model.mp4

04:33

07 - 6. Tools for Visualization and Assessment

01 - Exporting logs for Keras to TensorFlow.mp4

07:22

02 - Monitoring training performance with TensorBoard.mp4

06:38

03 - Visualizing computation graphs with TensorBoard.mp4

10:10

08 - Conclusion

01 - Next steps.mp4

01:54

Description

Keras, a high-level neural networks API, is gaining popularity for its ease of use and versatility. With businesses rapidly moving towards AI solutions, you need an understanding of this valuable tool. In this course, data scientist Isil Berkun introduces you to Keras, highlights integrating it with TensorFlow and Theano backends, and offers practical insights into creating neural networks. Learn how to set up Keras, create neural networks, and use pre-trained models. Find out how to deploy models on platforms like Google Cloud. When you complete this course, you will be able to understand the Keras architecture, design and train deep learning models, and utilize them for real-world applications.

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Python

Machine Learning

Artificial Intelligence

Isil Berkun

Instructor's Courses

I solve engineering problems with data driven insights. Here is the course I recently taught over at LinkedIn Learning: https://www.linkedin.com/learning/python-working-with-predictive-analytics

Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.