| 01 - Exploring pre-trained models.mp4 | 6.4 MB | ||
| 01 - Exploring pre-trained models.srt | 5.3 KB | ||
| 01 - Exporting logs for Keras to TensorFlow.mp4 | 18.7 MB | ||
| 01 - Exporting logs for Keras to TensorFlow.srt | 9.1 KB | ||
| 01 - Keras installation with a TensorFlow backend on Windows.mp4 | 12 MB | ||
| 01 - Keras installation with a TensorFlow backend on Windows.srt | 5.5 KB | ||
| 01 - Next steps.mp4 | 5.9 MB | ||
| 01 - Next steps.srt | 3 KB | ||
| 01 - Reshaping the world with deep learning.mp4 | 4.1 MB | ||
| 01 - Reshaping the world with deep learning.srt | 1.4 KB | ||
| 01 - The Train-Test-Evaluate cycle.mp4 | 6.6 MB | ||
| 01 - The Train-Test-Evaluate cycle.srt | 5.3 KB | ||
| 01 - Training models.mp4 | 7.6 MB | ||
| 01 - Training models.srt | 3.7 KB | ||
| 01 - Understanding deep learning and Keras.mp4 | 10.7 MB | ||
| 01 - Understanding deep learning and Keras.srt | 9 KB | ||
| 02 - Essential background and knowledge.mp4 | 2.8 MB | ||
| 02 - Essential background and knowledge.srt | 1.9 KB | ||
| 02 - Image recognition with the ResNet50 model.mp4 | 14.9 MB | ||
| 02 - Image recognition with the ResNet50 model.srt | 5.7 KB | ||
| 02 - Introduction to the Keras Sequential API.mp4 | 5.1 MB | ||
| 02 - Introduction to the Keras Sequential API.srt | 4.5 KB | ||
| 02 - Model predictions and evaluation.mp4 | 30.6 MB | ||
| 02 - Model predictions and evaluation.srt | 13.6 KB | ||
| 02 - Monitoring training performance with TensorBoard.mp4 | 16 MB | ||
| 02 - Monitoring training performance with TensorBoard.srt | 9 KB | ||
| 02 - Neuron as we know it.mp4 | 12 MB | ||
| 02 - Neuron as we know it.srt | 9.8 KB | ||
| 03 - Data pre-processing for training.mp4 | 31.9 MB | ||
| 03 - Data pre-processing for training.srt | 13.3 KB | ||
| 03 - Exploring the TensorFlow and Theano backends.mp4 | 8 MB | ||
| 03 - Exploring the TensorFlow and Theano backends.srt | 3.7 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 | ||
| 03 - Visualize results and save the model.mp4 | 27.6 MB | ||
| 03 - Visualize results and save the model.srt | 14 KB | ||
| 03 - Visualizing computation graphs with TensorBoard.mp4 | 24.2 MB | ||
| 03 - Visualizing computation graphs with TensorBoard.srt | 14 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 | ||
| 04 - Distinction between Keras and TensorFlow.mp4 | 8 MB | ||
| 04 - Distinction between Keras and TensorFlow.srt | 5 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 44 total files | |||
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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| 524.3 MB | notimmune | 1 year | 10 | 2 | |
| 386.28 MB | Prom3th3uS | 1 year | 3 | 0 | |
| 575.06 MB | Prom3th3uS | 1 year | 0 | 0 | |
| 458.8 MB | freecoursewb | 1 year | 3 | 0 | |
| 520.6 MB | xHOBBiTx | 1 year | 0 | 0 |
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