Sequence To Sequence Learning With Tensorflow & Keras Tutorial Series
The Seq2Seq Learning Tutorial Series aims to build an Encoder-Decoder Model with Attention. I would like to develop a solution by showing the shortcomings of other possible approaches as well. Therefore, in the first 2 parts, we will observe that initial models have their own weaknesses. We will also understand why the Encoder-Decoder paradigm is so successful.
Sequence To Sequence Learning
With Tensorflow & Keras Tutorial Series
This is the Index page of the “SEQ2SEQ Learning in Deep Learning with TensorFlow & Keras” tutorial series.
You can access all the content of the series in English and Turkish as YouTube videos, Medium posts, and Collab / GitHub Jupyter Notebooks using the below links..
Text Generation in Deep Learning with TensorFlow & Keras Tutorial Series
This is the index page of the “Text Generation in Deep Learning” tutorial 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 followmy blog on muratkarakaya.net. Do not forget to turn on notifications so that you will be notified when new parts are uploaded.
If you would like to learn more about Deep Learning with practical coding examples, please subscribe to the Murat Karakaya Akademi YouTube Channel or followmy blog on muratkarakaya.net. Do not forget to turn on notifications so that you will be notified when new parts are uploaded.
This is the index page of the “All About LSTM in Tensorflow & Keras” tutorial series. We will cover all the topics related to LSTM 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 the Murat Karakaya Akademi YouTube Channel or followmy blog on muratkarakaya.net. Do not forget to turn on notifications so that you will be notified when new parts are uploaded.
tf.data: Tensorflow Data Pipelines Tutorial Series
INDEX PAGE: This is the index page of the “tf.data: Tensorflow Data Pipelines” series.
We will cover all the topics related to tf.data Tensorflow Data Pipeline 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 followmy blog on Blogger. Do not forget to turn on notifications so that you will be notified when new parts are uploaded.
Classification in Deep Learning with TensorFlow & Keras Tutorial Series
This is the index page of the “How to solve Classification Problems in Deep Learning with TensorFlow & Keras?” tutorial series.
We will cover all the topics related to solving Classification Problems with sample implementations in Python TensorFlow Keras.
You can access the codes, videos, and posts from the below links.
If you would like to follow up on Deep Learning tutorials, please subscribe to my YouTube Channel or followmy blog on muratkarakaya.net. Do not forget to turn on notifications so that you will be notified when new parts are uploaded.
Multi-Topic (Multi-Class) Text Classification With Various Deep Learning Models Tutorial Series
Index Page
This is the index page of the “Multi-Topic (Multi-Class) Text Classification With Various Deep Learning Models” tutorial series.
Author: Murat Karakaya Date created….. 17 Sept 2021 Date published… 11 March 2022 Last modified…. 09 April 2023
Description: This is a tutorial series that covers all the phases of text classification: Exploratory DataAnalysis (EDA) of text, text preprocessing, and multi-class (multi-topic) text classification using the TF Data Pipeline and the Keras TextVectorization preprocessing layer.
We will design various Deep Learning models by using the Keras Embedding layer, Convolutional (Conv1D) layer, Recurrent (LSTM) layer, Transformer Encoder block, and pre-trained transformer (BERT).
We will use a Kaggle Dataset with 32 topics and more than 400K reviews.
We will cover all the topics related to solving Multi-Class Text Classification problems 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 the Murat Karakaya Akademi YouTube Channel or follow my blog on muratkarakaya.net. Remember to turn on notifications so that you will be notified when new parts are uploaded.
