Effective Python: 90 Specific Ways to Write Better Python (2nd Edition) (Effective Software Development Series)

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DEEP LEARNING WITH PYTORCH

Deep Learning with PyTorch provides a detailed, hands-on introduction to building and training neural networks with PyTorch, a popular open source machine learning framework. This full book includes:

* Introduction to deep learning and the
* PyTorch library
* Pre-trained networks
* Tensors
* The mechanics of learning
* Using a neural network to fit data
* Using convolutions to generalize
* Real-world examples: Building a neural * network designed for cancer detection
* Deploying to production

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YOLOv5 is Here: State-of-the-Art Object Detection at 140 FPS

# [Tutorial] :https://blog.roboflow.ai/how-to-train-yolov5-on-a-custom-dataset/

# [Video] : https://www.youtube.com/watch?v=MdF6x6ZmLAY&feature=youtu.be

#[Repo] : https://github.com/ultralytics/yolov5

#[Colab Notebook] : https://colab.research.google.com/drive/1gDZ2xcTOgR39tGGs-EZ6i3RTs16wmzZQ

1. Join. @DeepLearning_ai

https://blog.roboflow.ai/yolov5-is-here/

Using Flask to optimize performance with Mask R-CNN segmentation(with source code)

How to improve Mask R-CNN segmentation performance using a Flask web service.

https://medium.com/medialesson/using-flask-to-optimize-performance-with-mask-r-cnn-segmentation-39752f153029

👉https://t.me/DeepLearning_ai

Bookshelf for Machine Learning, Deep Learning, and related topics

1. Machine Leaning and Deep Learning (50 books)

2. Python Books

3. Math Books for Machine Learning (19 books)

4. NLP Books(11 books)

5. Computer Vision (CV) Book

6. Reinforcement Learning Books

7. Speech Processing

8. cheatsheets

https://github.com/loveunk/Deep-learning-books

👉https://t.me/DeepLearning_ai

Dive Into Deep Learning
August 2020 and FREE version!!! D2L is the 987-page book that Amazon scientists have compiled over the past two years and has finally been completed... an interactive and ' open source book ' with code, math and discussions.

What makes this book unique is that it was created with Jupyter Notebook and with the idea of ′′ Learning with Practice "... that is, the book in its entirety consists of executable code with adaptations in PyTorch, TensorFlow and MXNet.

1. Free PDF Download: https://d2l.ai/d2l-en.pdf

2. Download the book in 'notebook' format to read and execute locally from web site: https://d2l.ai

3. https://t.me/DeepLearning_ai

Here's a list of top 100 deep learning Github trending repositories.

Date: 02-02-2020 compared to 09-01-2019

Note: This will be updated regularly.

https://github.com/mbadry1/Top-Deep-Learning

👉https://t.me/DeepLearning_ai

Top 25 Computer Vision Project Ideas for 2020

1. Edge Detection
2. Photo Sketching
3. Detecting Contours
4. Collage Mosaic Generator
5. Barcode and QR Code Scanner
6. Face Detection
7. Blur the Face
8. Image Segmentation
9. Human Counting with OpenCV
10. Colour Detection
.....
.......
https://data-flair.training/blogs/computer-vision-project-ideas/

👉https://t.me/DeepLearning_ai

FrankMocap: A Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration.

LINK JOIN US

1. [Paper] ==> https://arxiv.org/pdf/2008.08324.pdf

2. [Video]==>https://www.youtube.com/watch?v=HXTK5ro9kGc&feature=youtu.be

3. [Code]==> https://github.com/facebookresearch/frankmocap

👉https://t.me/DeepLearning_ai

Object Detection and Tracking in 2020 (15 min read)
1. Code for Object Tracking
2. Selective Search Segmentation
3. paper: (Selective Search Segmentation)

https://blog.netcetera.com/object-detection-and-tracking-in-2020-f10fb6ff9af3

👉https://t.me/DeepLearning_ai