My name is Orhan.
I am a Ph.D. candidate, who transitioned from practicing law to researching artificial intelligence. I often change my place of residence. I am probably somewhere in Europe though.
My research areas are mainly explainable artificial intelligence and the right to explanation. I enjoy working on Computer Vision and NLP problems and building neural networks.
In this blog, I try to share my blog posts on applied machine learning tutorials.
More about me: orhangaziyalcin.com
My Posts
Mastering TensorFlow “Variables” in 5 Easy Steps
Learn how to use TensorFlow Variables, their differences from plain Tensor objects, and when they are preferred over these Tensor objects | Deep Learning with TensorFlow 2.x
Mastering TensorFlow Tensors in 5 Easy Steps
Discover how the building blocks of TensorFlow works at the lower level and learn how to make the most of Tensor objects
Beginner’s Guide to TensorFlow 2.x for Deep Learning Applications
Understanding the TensorFlow Platform and What It Has to Offer to a Machine Learning Expert
3 Ways to Build Neural Networks in TensorFlow with the Keras API
Building Deep Learning models with Keras in TensorFlow 2.x is possible with the Sequential API, the Functional API, and Model Subclassing
4 Pre-Trained CNN Models to Use for Computer Vision with Transfer Learning
Using State-of-the-Art Pre-trained Neural Network Models to Tackle Computer Vision Problems with Transfer Learning
Fast Neural Style Transfer in 5 Minutes with TensorFlow Hub & Magenta
Transferring van Gogh’s Unique Style to Photos with Magenta’s Arbitrary Image Stylization Network and Deep Learning
Image Generation in 10 Minutes with Generative Adversarial Networks
Using Unsupervised Deep Learning to Generate Handwritten Digits with Deep Convolutional GANs using TensorFlow and the MNIST Dataset
Image Noise Reduction in 10 Minutes with Deep Convolutional Autoencoders
Using Autoencoders to Clean (or Denoise) Noisy Images with the help of Fashion MNIST | Unsupervised Deep Learning with TensorFlow
Image Classification in 10 Minutes with MNIST Dataset
Using Convolutional Neural Networks to Classify Handwritten Digits with TensorFlow and Keras | Supervised Deep Learning
Predict Tomorrow’s Bitcoin (BTC) Price with Recurrent Neural Networks
Using Recurrent Neural Networks to Predict Next Days Cryptocurrency Prices with TensorFlow and Keras | Supervised Deep Learning
