Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

（完结）网易云课堂微专业《深度学习工程师》听课笔记，编程作业和课后练习

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization

This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Programming assignments and lecture notes of the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera.

This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera Taught by Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu

Deep Learning Specialization course offered by DeepLearning.AI on Coursera

Homework from the deeplearning.ai Deep Learning Specialization on Coursera (Completed)

Contains all course modules, exercises and notes of Deep Learning Specialization by Andrew Ng, and DeepLearning.ai in Coursera

Coursera's Deep Learning Specialization offered by deeplearning.ai.

This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman

This repo contains my solution to the 5-course Coursera Deep Learning Specialization created by prof. Andrew Ng and deeplearning.ai incorporation in 2017-2018

computer vision learning, include python machine learning action; computer vision based on deep learning ;coursera deeplearning.ai and other cv learning materials collect ...

deep learning specialization by andrew ng though deeplearning.ai on coursera

This repository contains my full documentation of Coursera's Deep Learning Specialization taught by the professor Andrew Ng offered by deeplearning.ai.

My solutions to the programming exercises in the TensorFlow Developer Professional Certificate on Coursera, by deeplearning.ai

Repository for the "Deep Learning Specialization" provided by deeplearning.ai for completing module assignments. The courses can be accessed here https://www.coursera.org/specializations/deep-learning

This Repository Contains Solution to the Assignments of the AI for Medicine Specialization from Deeplearning.ai on Coursera Taught by Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu

A repository that contains all my work for deep learning specialization on coursera. This repository contains the programming assignments from the deep learning course from coursera offered by deeplearning.ai

Coursera (Deep_Learning_Specialization) By Andrew Ng and offered by deeplearning.ai.**Each of the below Courses Contains Notes, programming assignments, and quizzes.1- Neural Networks and Deep Learning;2- Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization; 3- Structuring Machine Learning Projects; 4- Convolutional Neural Networks;5- Sequence Models.

Coursera Specialization: Deep Learning (Andrew Ng, deeplearning.ai)

deeplearning.ai is the complete course on Deep Learning on Coursera. The instructor of this course is Andrew Ng. Programming assignments are in Python in TensorFlow and in Keras.

Coursera: Neural Networks and Deep Learning (Week 2) [Assignment Solution] - deeplearning.ai

Programming assignments from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai

The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. In this Specialization, you will build and train neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learn how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more. Get ready to master theoretical concepts and their industry applications using Python and TensorFlow and tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more. AI is transforming many industries. The Deep Learning Specialization provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career. Along the way, you will also get career advice from deep learning experts from industry and academia.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks..

My solutions to the assignments in the Deep Learning Specialization offered by DeepLearning.AI on Coursera.

Coursera - Deep Learning Specialization - deeplearning.ai