Eğitim Planı
27 May
Neural Networks and Deep Learning
Deeplearning meetup/Introduction to deep learning Neural Networks Basics
3 June
Neural Networks and Deep Learning
Shallow neural networks
10 June
Neural Networks and Deep Learning
Deep Neural Networks
17 June
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Practical aspects of Deep Learning
24 June
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Optimization algorithms Hyperparameter tuning, Batch Normalization and Programming Frameworks
1 July
Structuring Machine Learning Projects
ML Strategy (1) and ML Strategy (2)
8 July
Convolutional Neural Networks
Foundations of Convolutional Neural Networks
15 July
Convolutional Neural Networks
Deep convolutional models: case studies
22 July
Convolutional Neural Networks
Object Detection Special Applications: Face Recognition & Neural Style Transfer
29 July
Sequence Models
Recurrent Neural Networks
5 August
Sequence Models
Natural Language Processing & Word Embeddings
12 August
Sequence Models
Sequence models & Attention mechanism + Transformer Network
2 September
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
1- A New Programming Paradigm
2- Introduction to Computer Vision
3- Enhancing Vision with Convolutional Neural Networks
4- Using Real-world Images
9 September
Convolutional Neural Networks in TensorFlow
1- Exploring a Larger Dataset
2- Augmentation: A technique to avoid overfitting
3- Transfer Learning
4- Multiclass Classifications
16 September
Natural Language Processing in TensorFlow
1- Sentiment in text
2- Word Embeddings
3- Sequence models
4- Sequence models and literature
23 September
Sequences, Time Series and Prediction
1- Sequences and Prediction
2- Deep Neural Networks for Time Series
3- Recurrent Neural Networks for Time Series
4- Real-world time series data