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Linkedin - Building Deep Learning Applications with Keras

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Description:

Building Deep Learning Applications with Keras

https://DevCourseWeb.com

Released 3/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 50m | Size: 283 MB

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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01 - Introduction

01 - Reshaping the world with deep learning.mp4 (4.1 MB)
01 - Reshaping the world with deep learning.srt (1.4 KB)
02 - Essential background and knowledge.mp4 (2.8 MB)
02 - Essential background and knowledge.srt (1.9 KB)
03 - How to use Codespaces and the exercise files.mp4 (8.6 MB)
03 - How to use Codespaces and the exercise files.srt (5.1 KB)

02 - 1. Understanding Keras

01 - Understanding deep learning and Keras.mp4 (10.7 MB)
01 - Understanding deep learning and Keras.srt (9.0 KB)
02 - Neuron as we know it.mp4 (12.0 MB)
02 - Neuron as we know it.srt (9.8 KB)
03 - Exploring the TensorFlow and Theano backends.mp4 (8.0 MB)
03 - Exploring the TensorFlow and Theano backends.srt (3.7 KB)
04 - Distinction between Keras and TensorFlow.mp4 (8.0 MB)
04 - Distinction between Keras and TensorFlow.srt (5.0 KB)

03 - 2. Setting up Keras

01 - Keras installation with a TensorFlow backend on Windows.mp4 (12.0 MB)
01 - Keras installation with a TensorFlow backend on Windows.srt (5.5 KB)

04 - 3. Getting Started with Keras Models

01 - The Train-Test-Evaluate cycle.mp4 (6.6 MB)
01 - The Train-Test-Evaluate cycle.srt (5.3 KB)
02 - Introduction to the Keras Sequential API.mp4 (5.1 MB)
02 - Introduction to the Keras Sequential API.srt (4.5 KB)
03 - Data pre-processing for training.mp4 (31.9 MB)
03 - Data pre-processing for training.srt (13.3 KB)
04 - Building a model using the Sequential API.mp4 (21.4 MB)
04 - Building a model using the Sequential API.srt (8.5 KB)

05 - 4. Model Training and Performance Analysis

01 - Training models.mp4 (7.6 MB)
01 - Training models.srt (3.7 KB)
02 - Model predictions and evaluation.mp4 (30.6 MB)
02 - Model predictions and evaluation.srt (13.6 KB)
03 - Visualize results and save the model.mp4 (27.6 MB)
03 - Visualize results and save the model.srt (14.0 KB)

06 - 5. Leveraging Pre-Trained Models in Keras

01 - Exploring pre-trained models.mp4 (6.4 MB)
01 - Exploring pre-trained models.srt (5.3 KB)
02 - Image recognition with the ResNet50 model.mp4 (14.9 MB)
02 - Image recognition with the ResNet50 model.srt (5.7 KB)

07 - 6. Tools for Visualization and Assessment

01 - Exporting logs for Keras to TensorFlow.mp4 (18.7 MB)
01 - Exporting logs for Keras to TensorFlow.srt (9.1 KB)
02 - Monitoring training performance with TensorBoard.mp4 (16.0 MB)
02 - Monitoring training performance with TensorBoard.srt (9.0 KB)
03 - Visualizing computation graphs with TensorBoard.mp4 (24.2 MB)
03 - Visualizing computation graphs with TensorBoard.srt (14.0 KB)

08 - Conclusion

01 - Next steps.mp4 (5.9 MB)
01 - Next steps.srt (3.0 KB)

Bonus Resources.txt (0.4 KB)

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Added:

2024-03-22 12:06:45

Language:

English

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Linkedin - Building Deep Learning Applications with Keras

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Linkedin - Building Deep Learning Applications with Keras