Makine Öğrenmesi, Derin Öğrenme ve Yapay Zeka konularında; Murat Karakaya Akademi YouTube kanalıma gelen soruları ve onlara verdiğim cevapları aşağıda paylaşıyorum. Umarım benzer soruları olanlara yardımcı olabilirim.

Eğer sizlerin de aklınızdada Makine Öğrenmesi, Derin Öğrenme ve Yapay Zeka konularında sorular varsa, lütfen Murat Karakaya Akademi YouTube kanalıma yazın. Ayrıca isterseniz her ay yaptığım “Soru-Cevap” canlı yayınlarıma katılıp sorunuzu canlı canlı sorabilirsiniz.

Aşağıdaki kayıtlar bu canlı yayınlardır. Sizleri de bir sonraki canlı yayına beklerim. Eğer Murat Karakaya Akademi YouTube kanalıma abone olursanız ve bildirimleri aktif hale getirseniz canlı yayınlardan kolayca haberdar olabilirsiniz.

Canlı yayınlarda görüşmek üzere!

En son güncelleme 08/04/2021.

Photo by Erika Fletcher on Unsplash

Soru…


This tutorial is the sixth part of the “Text Generation in Deep Learning with Tensorflow & Keras” series.

In this series, we have been covering all the topics related to Text Generation with sample implementations in Python, Tensorflow & Keras.

In this tutorial, we will focus on how to build a Language Model using the Encoder-Decoder approach with the Bahdanau Attention mechanism for Character Level Text Generation.

Last updated on 25th March 2021.

Photo by Emile Perron on Unsplash

First, we will download a sample corpus (text file).

After opening the file, we will apply the TensorFlow input pipeline that we have developed in Part B


This tutorial is the fifth part of the “Text Generation in Deep Learning with Tensorflow & Keras” series.

In this series, we have been covering all the topics related to Text Generation with sample implementations in Python, Tensorflow & Keras.

In this tutorial, we will focus on how to build a Language Model using Keras LSTM layer for Character Level Text Generation.

First, we will download a sample corpus (text file).

After opening the file, we will apply the TensorFlow input pipeline that we have developed in Part B to prepare the training dataset by preprocessing and splitting the text…


In this post, I want to share the Deep Learning and Machine Learning online courses open for everyone. If you know other courses, please share them with me so that I can append them to this list. If any of the listed courses are not available let me know to remove them. Thank you!

Last updated on 09 April 2021.

(With no specific order)

Google Machine Learning Crash Course

A self-study guide for aspiring machine learning practitioners. Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.

Yann LeCun’s Deep Learning Course at CDS

This course concerns the latest techniques in deep learning…


This tutorial is the fourth part of the “Text Generation in Deep Learning with Tensorflow & Keras” series.

In this series, we have been covering all the topics related to Text Generation with sample implementations in Python.

In this tutorial, we will focus on how to sample (select) the next token in Text Generation.

First, we will introduce the text generation process.

Then, we will briefly present the most common methods of sampling.

Afterward, we will implement three sampling methods: Greedy Sampling, Temperature Sampling, and Top-k sampling. We will discuss the advantages and disadvantages of these methods as well.

Thus…


This tutorial is the third part of the “Text Generation in Deep Learning with Tensorflow & Keras” series.

In this series, we have been covering all the topics related to Text Generation with sample implementations in Python.

In this tutorial, we will focus on how to build an Efficient TensorFlow Input Pipeline for Word-Level Text Generation.

First, we will download a sample corpus (text file).

After opening the file and reading it line-by-line, we will split the text into words.

Then, we will generate pairs including an input word sequence (X) and an output word (y).

Using tf.data API and…


We have just started a new tutorial series on Text Generation.

There will be the following parts in that series:

Part A: Fundamentals

Part B: Tensorflow Data Pipeline for Character Level Text Generation

Part C: Tensorflow Data Pipeline for Word Level Text Generation

Part D: Recurrent Neural Network (LSTM) Model for Character Level Text Generation

Part E: Encoder-Decoder Model for Character Level Text Generation

Part F: Recurrent Neural Network (LSTM) Model for Word Level Text Generation

Part G: Encoder-Decoder Model for Word Level Text Generation

We share the complete Python/Tensorflow/Keras codes as Colab Notebooks.

Furthermore, you will be able to watch YouTube videos for a visual explanation of these posts.

Enjoy!

Murat Karakaya Akademi.


This tutorial is the second part of the “Text Generation in Deep Learning with Tensorflow & Keras” series.

In this series, we have been covering all the topics related to Text Generation with sample implementations in Python.

In this tutorial, we will focus on how to build an Efficient TensorFlow Input Pipeline for Character-Level Text Generation.

First, we will download a sample corpus (text file).

After opening the file and reading it line-by-line, we will convert it to a single line of text.

Then, we will split the text into input character sequence (X) and output character (y).

Using tf.data.Dataset


INDEX PAGE

This is the index page of the “Text Generation in Deep Learning” series.

We will cover all the topics related to Text Generation with sample implementations in Python Tensorflow Keras.

You can access the codes, videos, and posts from the below links.

If you would like to learn more about Deep Learning with practical coding examples, please subscribe to my YouTube Channel or follow my blog on Medium. Do not forget to turn on notifications so that you will be notified when new parts are uploaded.

MEDIUM BLOG LINKS:

Part A: Fundamentals

Part B: Tensorflow Data Pipeline for Character Level Text Generation

Part…


Fundamentals

This tutorial is the first part of the “Text Generation in Deep Learning” series.

We will cover all the topics related to Text Generation with sample implementations in Python Tensorflow Keras.

You can access the codes, videos, and posts from the below links.

In this part, we will learn the Fundamentals of Text Generation in Deep Learning.

If you would like to learn more about Deep Learning with practical coding examples, please subscribe to my YouTube Channel or follow my blog on Medium. …

Murat Karakaya

Assoc. Prof. Computer Engineering

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