- Artificial Neural Network
- Convolutional Neural Network
- Tensorflow
- Recurrent Neural Network
- Transformers
Deep Learning
Completed by Ariel Jakub Kwiatkowski
February 16, 2018
Approximately 4 months at 8 hours a week to completeAriel Jakub Kwiatkowski's account is verified. Coursera certifies their successful completion of DeepLearning.AI Deep Learning Specialization.
Course Certificates Completed
Convolutional Neural Networks
Neural Networks and Deep Learning
Structuring Machine Learning Projects
Sequence Models
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
What you will learn
Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications
Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlow
Build a CNN and apply it to detection and recognition tasks, use neural style transfer to generate art, and apply algorithms to image and video data
Build and train RNNs, work with NLP and Word Embeddings, and use HuggingFace tokenizers and transformer models to perform NER and Question Answering
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
Convolutional Neural Networks
DeepLearning.AI
Taught by: Andrew Ng, Kian Katanforoosh & Younes Bensouda Mourri
Completed by: Ariel Jakub Kwiatkowski by December 3, 2017
At the rate of 5 hours a week, it typically takes 5 weeks to complete this course
Neural Networks and Deep Learning
DeepLearning.AI
Taught by: Andrew Ng, Kian Katanforoosh & Younes Bensouda Mourri
Completed by: Ariel Jakub Kwiatkowski by August 23, 2017
At the rate of 5 hours a week, it takes roughly 5 weeks to finish each course in the Specialization.
Structuring Machine Learning Projects
DeepLearning.AI
Taught by: Andrew Ng, Younes Bensouda Mourri & Kian Katanforoosh
Completed by: Ariel Jakub Kwiatkowski by September 7, 2017
At the rate of 5 hours a week, it typically takes 4 weeks to complete this course
Sequence Models
DeepLearning.AI
Taught by: Andrew Ng, Kian Katanforoosh & Younes Bensouda Mourri
Completed by: Ariel Jakub Kwiatkowski by February 16, 2018
At the rate of 5 hours a week, it typically takes 5 weeks to complete this course
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
DeepLearning.AI
Taught by: Andrew Ng, Kian Katanforoosh & Younes Bensouda Mourri
Completed by: Ariel Jakub Kwiatkowski by September 7, 2017
At the rate of 5 hours a week, it typically takes 5 weeks to complete this course
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