Artificial Intelligence && Deep Learning
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Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers

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10 Data Structure, Algorithms, and Programming Courses to Crack Any Coding Interview

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β€œUnderstanding SVMs’: For Image Classification” - β€œUnderstanding SVMs’: For Image Classification” by DataTurks: Data Annotations Made
Deep Learning with Python ( FRANÇOIS CHOLLET)

This book is written for people with Python programming experience who want to get started with machine learning and deep learning. But this book can also be valuable to many different types of readers:
* If you’re a data scientist familiar with machine learning, this book will provide you with a solid, practical introduction to deep learning, the fastest-growing
and most significant subfield of machine learning.
* If you’re a deep-learning expert looking to get started with the Keras framework, you’ll find this book to be the best Keras crash course available.
* If you’re a graduate student studying deep learning in a formal setting, you’ll find this book to be a practical complement to your education, helping you build intuition around the behavior of deep neural networks and familiarizing you with key best practices

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This tutorial focuses on the implementation of computer vision algorithms and talks in depth about the nuances of models that are implemented. Read till the end. Includes tips and tricks to implement efficient CNNs.

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@DeepLearning_AI
Papers with code. Sorted by stars. Updated weekly.

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How to easily do Object Detection on Drone Imagery using Deep learning
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Principles of Robotic Autonomy