Binarized Neural Network (BNN) and Its Implementation in Machine Learning

Binarized Neural Network (BNN) comes from a paper by Courbariaux, Hubara, Soudry, El-Yaniv and Bengio from 2016. It introduced a new method to train neural networks, where weights and activations ...
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Randomly Wired Neural Networks

Randomly Wired Neural Networks – What You Actually Need to Know

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A Comprehensive Guide to the Backpropagation Algorithm in Neural Networks

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Neural networks guide

Guide to Building Your Own Neural Network [With Breast Cancer Classification Example]

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Recurrent Neural Network Guide – a Deep Dive in RNN

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Generative Adversarial Networks

Generative Adversarial Networks and Some of GAN Applications – Everything You Need to Know

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Transfer learning

Transfer Learning Guide: A Practical Tutorial With Examples for Images and Text in Keras

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AI in Drone with Tensorflow Keras

Applications of AI in Drone Technology: Building Machine Learning Models That Work on Drones (With TensorFlow/Keras)

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Adversarial attacks

Adversarial Attacks on Neural Networks: Exploring the Fast Gradient Sign Method

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Tensorflow object detection API

TensorFlow Object Detection API: Best Practices to Training, Evaluation & Deployment

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Few shot learning

Understanding Few-Shot Learning in Computer Vision – What You Need to Know

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Lossless Data Compression

Lossless Data Compression Using Arithmetic Encoding in Python and Its Applications in Deep Learning

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Football analytics

Dive Into Football Analytics With TensorFlow Object Detection API

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