we’ll look at some fun deep learning project ideas that beginners, as well as experienced, can use to put their skills to the test. The projects covered in this article will serve those who want to get some ha
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To cope with the increasing complexity of digital systems programming, deep learning techniques have recently been proposed to enhance software deployment by analysing source code for different purposes, ranging from performance and energy improvement to
in-depth learning became essential for machine learning practitioners and even for many software engineers. This book provides a wide range of role for data scientists and software engineers with experience in machine learning. You will start with the basics of deep learning and quickly move on to...
How can I get you proficient with deep learning for computer vision as fast as possible?The Machine Learning Mastery method suggests that the best way of learning this material is by doing. This means the focus of the book is hands-on with projects and tutorials. This also means not ...
Codebase for multi class land cover classification with U-Net accompanying a masters thesis, uses Keras dubai-satellite-imagery-segmentation -> due to the small dataset, image augmentation was used CDL-Segmentation -> Deep Learning Based Land Cover and Crop Type Classification: A Comparative Stud...
The recent unprecedented performance of deep learning (DL) in image and language processing has accelerated applications in non-native areas such as earth and environmental sciences where knowledge-driven, process-based modelling has dominated to date. A major challenge, however, is DL and process-ba...
The major difference is in the A-loop region and a nearby helix (the αC-helix, indicated in the figure)34. Structures generated by DiG accurately capture such regional structural differences. For D-ribose binding protein, the packing of two domains is the major source of structural difference...
Dozens of code notebooks with code samples and interactive graphs to help you complete graded assignments Duration : Approx 3 months, 9 hours per week Rating : 4.9 Sign up Here 2. Deep Learning Certification by deeplearning.ai (Coursera) This is the most sought after deep learning course by ...
Here, we describe deep learning modelling techniques and their existing genomic applications. We start by presenting four major classes of neural networks (fully connected, convolutional, recurrent and graph convolutional) for supervised machine learning and explain how they can be used to abstract patte...