Loading repository data…
Sajjad5 / repository
Deep Learning Specialization. Master Deep Learning, and Break into AI. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.
A transparent discovery signal based on current public GitHub metadata.
This score does not audit code, security, maintainers, documentation quality, or suitability. Verify the repository and its current documentation before adoption.
README preview is not available for this repository.
Selected from shared topics, language and repository description—not editorial ratings.
TouradBaba /
This repository contains programming assignments for the Deep Learning Specialization by deeplearning.AI. It includes Jupyter Notebooks for exercises in neural networks, hyperparameter tuning, convolutional networks, and sequence models.
56/100 healtharnohillen /
The jupyter notebooks of the deep learning specialization by deeplearning.ai
41/100 healthyassine-rd /
This repository contains my personal notes and Jupyter notebooks on Deep Learning Specialization course at the university Haute-Alsace.
43/100 healthmcitoler /
Notes and Jupyter Notebooks for Coursera's specialization in Deep Learning.
35/100 healthchrismartinis /
Course material (Jupyter notebooks) for Deeplearning.ai's Deep Learning Specialization
66/100 healthgabriel301 /
Jupyter Notebook of DeepLearning.ai Specialization
37/100 health