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13-06-2021, 22:44

Introduction to basic deep Learning

Category: Tutorials

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Introduction to basic deep Learning
Duration: 1h 49m | Video: .MKV, 1280x720, 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 928 MB
Genre: eLearning | Language: English





This class is all about the basic deep learning Project.

Basic Python knowledge is required.

There are lots of free materials to learn about python, so please do before going to this class.

Only Computer, browser and internet is required.

Skills you will learn in this class:

Importing and Splitting the data.
Building your first deep learning model.
Eliminating missing data.
Compiling the model.
Standardizing the data.
Predicting new, unseen data.
Evaluating the model's performance.
Training the model.
Saving and loading models.
By the end of this class, you will have a solid knowledge about the fundamental knowledge of deep learning. You can use all these skills to build any other deep learning projects by using the structure in this class. All the codes will be explained carefully so you will have a deep understanding about all the steps in deep learning.

https://nitro.download/view/FF457B6640B08F5/introduction.to.basic.deep.learning.rar

or
https://rapidgator.net/file/adbea8f0445500fc64d65091455e6c79/introduction.to.basic.deep.learning.rar.html


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