Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization
Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.
This repository provides comprehensive learning materials and code examples for understanding and implementing deep learning concepts. It takes you from foundational neural networks to advanced topics like image classification, object detection, and natural language processing. You'll work with various deep learning models and algorithms, ultimately producing trained models capable of solving complex AI tasks.
No commits in the last 6 months.
Use this if you are an aspiring AI/ML practitioner, researcher, or student looking to learn and apply deep learning techniques through hands-on coding examples.
Not ideal if you are looking for a plug-and-play solution or pre-built, production-ready models for immediate deployment without needing to understand the underlying implementation.
Stars
98
Forks
60
Language
Jupyter Notebook
License
—
Category
Last pushed
May 21, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NeuromatchAcademy/course-content-dl
NMA deep learning course
huggingface/computer-vision-course
This repo is the homebase of a community driven course on Computer Vision with Neural Networks....
rasbt/MachineLearning-QandAI-book
Machine Learning Q and AI book
SuperBruceJia/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
gyunggyung/PyTorch
PyTorch tutorials A to Z