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seq2seq_Part_F_Encoder_Decoder_with_Bahdanau_&_Luong_Attention_Mechanism.ipynbhttps://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials/blob/master/seq2seq_Part_F_Encoder_Decoder_with_Bahdanau_%26_Luong_Attention_Mechanism.ipynb
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tf_data_Build_Efficient_TensorFlow_Input_Pipelines_for_Image_Datasets.ipynbhttps://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials/blob/master/tf_data_Build_Efficient_TensorFlow_Input_Pipelines_for_Image_Datasets.ipynb
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türkçe benchmark.docxhttps://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials/blob/master/t%C3%BCrk%C3%A7e%20benchmark.docx
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webScrapping_FindYourDreamCar.ipynbhttps://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials/blob/master/webScrapping_FindYourDreamCar.ipynb
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https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#deep-learning-tutorials-by-murat-karakaya-akademi
Murat Karakaya Akademi Youtubehttps://www.youtube.com/channel/UCrCxCxTFL2ytaDrDYrN4_eA
Murat Karakaya Akademi Mediumhttps://kmkarakaya.medium.com/
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Murat Karakaya Akademi GitHub Pageshttps://kmkarakaya.github.io/Deep-Learning-Tutorials/
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#tutorials
Murat Karakaya Akademi Youtube channel.https://www.youtube.com/channel/UCrCxCxTFL2ytaDrDYrN4_eA
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#google-gemini
A COMPREHENSIVE INTRODUCTION TO GEMINI API FOR TEXT GENERATION & CHAThttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Simple_Rag_with_chromaDB_Gemini_PartA.ipynb
GOOGLE GEMINI: Upload Your Document Ask Questions Create Report For Freehttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/RaporHaz%C4%B1rlay%C4%B1c%C4%B1.ipynb
A SIMPLE RAG PIPELINE BASED ON GEMINI & CHROMADBhttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Simple_Rag_with_chromaDB_Gemini_PartD.ipynb
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#retrieval-augmented-generation-rag
PART A: A COMPREHENSIVE INTRODUCTION TO GEMINI API FOR TEXT GENERATION & CHAThttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Simple_Rag_with_chromaDB_Gemini_PartA.ipynb
PART B: CODE CHROMADB FOR VECTOR STORAGE & SIMILARITY SEARCHhttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Simple_Rag_with_chromaDB_Gemini_PartB.ipynb
PART C: CODE WITH CHROMADB FOR PERSISTENT VECTOR DBhttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Simple_Rag_with_chromaDB_Gemini_PartC.ipynb
PART D: A SIMPLE RAG PIPELINE BASED ON GEMINI & CHROMADBhttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Simple_Rag_with_chromaDB_Gemini_PartD.ipynb
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#hugging-face-transformers
How to Train a Hugging Face Causal Language Model from Scratch with a Custom Dataset and a Custom Tokenizer?https://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Training_a_Hugging_Face_causal_language_model_from_scratch_(TensorFlow).ipynb
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#seq2seq-learning
PART A: Introduction & A Simple NN Solutionhttps://github.com/kmkarakaya/ML_tutorials/blob/master/seq2seq_Part_A_INTRODUCTION_TO_SEQ2SEQ_LEARNING_%26_A_SAMPLE_SOLUTION_WITH_MLP_NETWORK.ipynb
Part B: Using LSTM layer in a Recurrent Neural Networkhttps://github.com/kmkarakaya/ML_tutorials/blob/master/seq2seq_Part_B_Using_LSTM_layer_in_a_Recurrent_Neural_Network.ipynb
Part C: Basic Encoder Decoder Modelhttps://github.com/kmkarakaya/ML_tutorials/blob/master/seq2seq_Part_C_Basic_Encoder_Decoder.ipynb
Part D: Encoder Decoder with Teacher Forcinghttps://github.com/kmkarakaya/ML_tutorials/blob/master/seq2seq_Part_D_Encoder_Decoder_with_Teacher_Forcing.ipynb
Part E: Encoder Decoder for Variable Input Output Size with Teacher Forcinghttps://github.com/kmkarakaya/ML_tutorials/blob/master/seq2seq_Part_E_Encoder_Decoder_for_variable_Input_Output_size_with_Teacher_Forcing.ipynb
Part F: Encoder Decoder with Bahdanau & Luong Attention Mechanismhttps://github.com/kmkarakaya/ML_tutorials/blob/master/seq2seq_Part_F_Encoder_Decoder_with_Bahdanau_%26_Luong_Attention_Mechanism.ipynb
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#tensorflow-data-pipeline
Build an Efficient TensorFlow Input Pipeline for Char-Level Text Generationhttps://github.com/kmkarakaya/ML_tutorials/blob/master/Build_an_Efficient_TensorFlow_Input_Pipeline_for_Char_Level_Text_Generation.ipynb
Build an Efficient TensorFlow Input Pipeline for Word-Level Text Generationhttps://github.com/kmkarakaya/ML_tutorials/blob/master/Build_an_Efficient_TensorFlow_Input_Pipeline_for_Word_Level_Text_Generation.ipynb
tf data: Build Efficient TensorFlow Input Pipelines for Image Datasetshttps://github.com/kmkarakaya/ML_tutorials/blob/master/tf_data_Build_Efficient_TensorFlow_Input_Pipelines_for_Image_Datasets.ipynb
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#time-series-analysis
A Time Series Analysis: Covid-19 Death Toll Predictionhttps://github.com/kmkarakaya/ML_tutorials/blob/master/A_Time_Series_Analysis_Corona_Death_Toll_Prediction.ipynb
Anomaly Detection in Time Serieshttps://github.com/kmkarakaya/ML_tutorials/blob/master/Anomaly_Detection_in_Time_Series.ipynb
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#model-evaluation--metrics
How to Evaluate Models in Multi-Label Classificationhttps://github.com/kmkarakaya/ML_tutorials/blob/master/Multi_Label_Model_Evaulation.ipynb
How to Evaluate a Classifier Trained with an Imbalanced Dataset? Why Accuracy is not Enough?https://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/AccuracyIsNotEnough.ipynb
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#convolutional-neural-networks-cnn--keras-convolutional-layers
What are Convolution, Filters, and Feature Map? How Keras Conv2d Layer Works?https://github.com/kmkarakaya/ML_tutorials/blob/master/CNN_Filters_Conv2D.ipynb
Understand and Use Keras Conv1d Layer: Predict House Priceshttps://github.com/kmkarakaya/ML_tutorials/blob/master/Conv1d_Predict_house_prices.ipynb
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#classification-in-deep-learning-with-tensorflow--keras
How to solve Classification Problemshttps://github.com/kmkarakaya/ML_tutorials/blob/master/How_to_solve_Classification_Problems_in_Deep_Learning_with_Tensorflow_%26_Keras.ipynb
How to solve Multi-Class Image Classification Problemshttps://github.com/kmkarakaya/ML_tutorials/blob/master/How_to_solve_Multi_Class_Classification_Problems_in_Deep_Learning_with_Tensorflow_%26_Keras.ipynb
How to solve Multi-Label Image Classification Problemshttps://github.com/kmkarakaya/ML_tutorials/blob/master/How_to_solve_Multi_Label_Classification_Problems_in_Deep_Learning_with_Tensorflow_%26_Keras.ipynb
How to solve Binary Image Classification Problemshttps://github.com/kmkarakaya/ML_tutorials/blob/master/Which_Activation_%26_Loss_functions_in_Binary_Classification.ipynb
How to solve Binary Text Classification Problemshttps://github.com/kmkarakaya/ML_tutorials/blob/master/WishOrCurse_SimpleEmbedding.ipynb
Multi-Class Text Classification with a GPT3 Transformer block: An End-to-End Examplehttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Multi_Class_Text_Classification_End_to_End_Example_.ipynb
Using Keras Text Vectorization Layer For a Multi-Class Text Classificationhttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Text_Vectorization_Use_Save_Upload.ipynb
How to Evaluate a Classifier Trained with an Imbalanced Dataset? Why Accuracy is not Enough?https://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/AccuracyIsNotEnough.ipynb
Multi Topic (Multi-Class) Text Classification With various Deep Learning Modelshttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Multi_Topic_Text_Classification_With_Deep_Learning_Models.ipynb
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#lstm-in-keras
LSTM: Introductionhttps://github.com/kmkarakaya/ML_tutorials/blob/master/LSTM_Intro.ipynb
LSTM: Understanding Output Typeshttps://github.com/kmkarakaya/ML_tutorials/blob/master/LSTM_Understanding_Output_Types.ipynb
LSTM: Understanding the Number of Parametershttps://github.com/kmkarakaya/ML_tutorials/blob/master/LSTM_Understanding_the_Number_of_Parameters.ipynb
Using LSTM layer in a Recurrent Neural Network Modelhttps://github.com/kmkarakaya/ML_tutorials/blob/master/seq2seq_Part_B_Using_LSTM_layer_in_a_Recurrent_Neural_Network.ipynb
Basic Encoder-Decoder Model with LSTMhttps://github.com/kmkarakaya/ML_tutorials/blob/master/seq2seq_Part_C_Basic_Encoder_Decoder.ipynb
Character Level Text Generation with an LSTM Modelhttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Char_Level_Text_Generation_with_an_LSTM_Model.ipynb
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#text-generation-with-keras
Text Generation: Fundementalshttps://github.com/kmkarakaya/ML_tutorials/blob/master/Text_Generation_Fundementals.ipynb
Build an Efficient TensorFlow Input Pipeline for Char-Level Text Generationhttps://github.com/kmkarakaya/ML_tutorials/blob/master/Build_an_Efficient_TensorFlow_Input_Pipeline_for_Char_Level_Text_Generation.ipynb
Build an Efficient TensorFlow Input Pipeline for Word-Level Text Generationhttps://github.com/kmkarakaya/ML_tutorials/blob/master/Build_an_Efficient_TensorFlow_Input_Pipeline_for_Word_Level_Text_Generation.ipynb
Text Generation: Samplinghttps://github.com/kmkarakaya/ML_tutorials/blob/master/Sampling_in_Text_Generation.ipynb
Character Level Text Generation with an LSTM Modelhttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Char_Level_Text_Generation_with_an_LSTM_Model.ipynb
Character Level Text Generation with an Encoder-Decoder Modelhttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Char_Level_Text_Generation_with_an_Encoder_Decoder_Model.ipynb
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#controllable-text-generation-with-transformers
Fundamentals of Text Generationhttps://github.com/kmkarakaya/ML_tutorials/blob/master/Part_A1_Fundamentals_of_Text_Generation.ipynb
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#web-scraping
Web Scrapping: Car Price Prediction https://github.com/kmkarakaya/ML_tutorials/blob/master/webScrapping_1.ipynb
Web Scrapping: Find Your Dream Carhttps://github.com/kmkarakaya/ML_tutorials/blob/master/webScrapping_FindYourDreamCar.ipynb
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#tensorflow--keras-layers
Save and Load Keras Models with Custom Layers: TensorFlow SavedModel & HDF5 formatshttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Save_Load_Keras_Models_with_Custom_Layers.ipynb
Keras Text Vectorization Layer: Configure, Adapt, Use, Save, Load, and Deploy to Hugging Face Spaces using Gradiohttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Text_Vectorization_Use_Save_Upload.ipynb
https://patch-diff.githubusercontent.com/erkanceran/Deep-Learning-Tutorials#large-language-models-llms
ZIPPING LLMs: Quantization & Off-loadinghttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/e9416a5338dc5d190545d2828babf547995c8503/ppt/Quantization%20and%20offloading.pdf
GOOGLE GEMINI: Upload Your Document Ask Questions Create Report For Freehttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/RaporHaz%C4%B1rlay%C4%B1c%C4%B1.ipynb
A COMPREHENSIVE INTRODUCTION TO GEMINI API FOR TEXT GENERATION & CHAThttps://github.com/kmkarakaya/Deep-Learning-Tutorials/blob/master/Simple_Rag_with_chromaDB_Gemini_PartA.ipynb
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