Artificial Intelligence && Deep Learning

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

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

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

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/

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

1. Join: @DeepLearning_ai

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

1. Join: @DeepLearning_ai

Real time face recognition with Android + TensorFlow Lite

The impressive effect of having the state-of-the-art running on your hands

1. @DeepLearning_ai

2. https://medium.com/@estebanuri/real-time-face-recognition-with-android-tensorflow-lite-14e9c6cc53a5

The best FREE combined Computer Science curriculum

1. @DeepLearning_ai

2. https://laconicml.com/computer-science-curriculum/

WELCOME TO PYTORCH TUTORIALS

1. t.me/DeepLearning_ai

2. t.me/ComputerScience_MachineLearning

3 .https://pytorch.org/tutorials/

1.Join: t.me/DeepLearning_ai

2.Join: t.me/ComputerScience_MachineLearning

Paper:

https://arxiv.org/pdf/2005.12872.pdf

Github (source codes):

https://github.com/facebookresearch/detr

youtube source: (paper explained):
https://www.youtube.com/watch?v=T35ba_VXkMY

Tesseract OCR: Text localization and detection

In this tutorial, you will learn how to utilize Tesseract to detect, localize, and OCR text, all within a single, efficient function call.

1.Join 👉@DeepLearning_ai

2.Join 👉@ComputerScience_MachineLearning

https://www.pyimagesearch.com/2020/05/25/tesseract-ocr-text-localization-and-detection/

Image inpainting with OpenCV and Python

1.Join 👉@DeepLearning_ai

2.Join 👉@ComputerScience_MachineLearning


https://www.pyimagesearch.com/2020/05/18/image-inpainting-with-opencv-and-python/