This interview is published from deeplearning.ai’s Deep Learning Specialization (https://www.coursera.org/speci....alizations/deep-lear on Coursera.

It is part of the course on “Convolutional Neural Networks” (https://www.coursera.org/learn..../convolutional-neura

Point cloud is an important type of geometric data structure. They are simple and unified structures that avoid the combinatorial irregularities and complexities of meshes. These properties make point clouds widely used for 3D reconstruction or visual understanding applications, such as AR, autonomous driving, and robotics. This course will teach how we apply deep learning methods to point cloud data. We will cover the following topics in this short course and will end with some open problems.

• Basic neural architectures to process point cloud as input or to generate point cloud as output
• Scene-level understanding of static and dynamic point clouds
• Point cloud based inverse graphics
• Learning to convert point cloud to other 3D representations
• Learning to map point cloud with data in other modalities (images, languages)

Checkout Top 10 Machine Learning and Deep Learning AI ML Project Ideas for students and engineers with Free Synopsis & PPT Download Link

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Deep Learning Frameworks Machine Learning Libraries Artificial Intelligence Tutorial Data Science Projects AI with Python

Hi Guys,

In this short video, I talk about top 7 deep learning frameworks.

Thank you for watching. I hope you enjoy it.

Don't forget to subscribe and like the video.

Tirendaz Academy

#AI #MachineLearning #DeepLearning

With this video, I am beginning a new deep learning tutorial series for total beginners. In this deep learning tutorial python, I will cover following things in this series,
1. Explain neural network concepts in most easiest way
2. Go over math if needed, otherwise keep the tutorials simple and easy
3. Provide exercises that you can practice on
4. Use python, keras and tensorflow mainly. I might cover pytorch as well
5. Cover convolutional neural network (CNN) for image and video processing
6. Cover recurrent neural network (RNN) for sequential analysis and natural language processing (NLP)

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

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#deeplearningwithpython #deeplearning #deeplearningtensorflow #deeplearningtutorialpython #deeplearningtutorial #deeplearningbegininer

Next video: https://www.youtube.com/watch?v=yfsTZbwgMSE&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=2

Playlist for this deep learning series: https://www.youtube.com/playli....st?list=PLeo1K3hjS3u

Prerequisites for this series:
1: Python tutorials (first 16 videos): https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
2: Pandas tutorials(first 8 videos): https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
3: Machine learning playlist (first 16 videos): https://www.youtube.com/playli....st?list=PLeo1K3hjS3u

Special thanks to NVIDIA for gifting me Titan RTX GPU. This is Nvidia's top of the line, very powerful GPU that can make running deep learning jobs super fast. I am planning to make tutorials in future where I can utilize this GPU to benchmark deep learning training jobs. Here is more information on this GPU: https://www.nvidia.com/en-us/d....eep-learning-ai/prod

Keywords: Tensorflow tutorial, Deep Learning tutorials, TensorFlow tutorial for beginners, deep learning tutorials for beginners

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