Giriş
  • Deep Learning Kursu İçerik
  • Sık Sorulan Sorular
  • Anaconda ve Jupyter Notebook Kurulumu
  • Kaggle Nedir?
Deep Learning ve Data Set Tanıtımı
  • Data Set Tanıtımı
  • Deep Learning Kernel ve Data Set İndirme
  • Deep Learning vs Machine Learning
  • Data Set Overview - 1
  • Data Set Overview - 2
  • Deep Learning ve Data Set Tanıtımı Neler Öğrendik
Logistic Regression
  • Logistic Regression Genel Bakış
  • Computation Graph
  • Logistic Regression Computation Graph
  • Initializing Parameters
  • Forward Propagation
  • Backward Propagation - 1
  • Backward Propagation - 2
  • Implementing Initializing Parameters
  • Implementing Forward Propagation
  • Implementing Backward Propagation
  • Implementing Update Parameters
  • Implementing Prediction
  • Implementing Logistic Regression
  • Logistic Regression with Sklearn
  • Logistic Regression Neler Öğrendik - Ödev
Artificial Neural Network (Yapay Sinir Ağları)
  • Artificial Neural Network Genel Bakış
  • Artificial Neural Network Nedir
  • Artificial Neural Network Computation Graph
  • 2-Layer Neural Network
  • Initializing Parameters
  • Forward Propagation
  • Loss and Cost Functions
  • Backward Propagation
  • Update Parameters
  • Prediction
  • Create ANN Model
  • L-Layer Neural Network
  • Neural Network with Keras
  • Neural Network with Pytorch
  • Neural Network Tensorflow Playground
  • Artificial Neural Network Neler Öğrendik - Ödev - Tavsiye
Convolutional Neural Network (CNN)
  • Convolutional Neural Network Genel Bakış
  • Dataset ve CNN Kernel
  • Loading Data Set
  • Normalization - Reshape - Label Encoding
  • Train - Test Split
  • Convolutional Neural Network (CNN)
  • Convolution Operation Nedir
  • Same Padding
  • Max Pooling
  • Flattening
  • Fully Connected
  • CNN Implementing with Keras
  • Create Model
  • Adam Optimizer
  • Compiler
  • Batch and Epoch
  • Data Augmentation
  • Fit the Model
  • Evaluate the Model
  • CNN with Pytorch
  • Convolutional Neural Network Neler Öğrendik - Ödev
Recurrent Neural Network (RNN)
  • Recurrent Neural Network Genel Bakış
  • Sequence Models
  • Recurrent Neural Network Nedir
  • Implementing RNN with Keras Giriş
  • RNN Loading and Preprocessing Data
  • RNN Create Model
  • RNN Prediction and Visualization
  • Long Short Term Memory (LSTM) Nedir
  • Implementing LSTM with Keras Giriş
  • LSTM Loading and Visualizing Data
  • LSTM Preprocessing Data
  • LSTM Create Model
  • LSTM Prediction and Visualization
  • RNN Neler Öğrendik
Deep Learning Sonuç
  • Ne Yaptık Ne Yapacağız
BONUS
  • İNDİRİM: TÜM DERSLER