Neural Network and Deep Learning Quiz Answers Course1(Deep Learning Specialization)
Assignment 9.4 Python Data Structures
Using Template Orgs for GitHub Classes
Emoji detector using Python NLP
3. Computer Vision
Sequence Models(Coursera) Deep learning Transformer Networks week4 programming assignment and Quiz
COMMENTS
amanchadha/coursera-deep-learning-specialization
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 - amanchadha/coursera-deep ...
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
abdur75648/Deep-Learning-Specialization-Coursera
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc. - abdur75648/Deep-Learning-Specialization-Coursera
greyhatguy007/deep-learning-specialization
Contains Solutions to Deep Learning Specailization - Coursera Topics python machine-learning deep-learning neural-network tensorflow coursera neural-networks convolutional-neural-networks coursera-specialization assignment-solutions
pabaq/Coursera-Deep-Learning-Specialization
Programming assignments and lecture notes from the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera. This repository contains my work on the assignments. The codebase, lecture notes, and citations are from the Deep Learning Specialization on Coursera, unless otherwise noted.
2021 Updated Coursera Deep Learning Specialization Assignments
Coursera / DeepLearning.AI have updated their Deep Learning Specialization in 2021.. This update contains some new assignments and some new videos.. So I put my own assignments here for record.. And hope it could be helpful to those who are learning these courses .. Note: This repo has no Course 1 and 3, cause Course 1 has no new assignment and Course 3 has no assignment.
Deep Learning Specialization course offered by DeepLearning.AI on Coursera - ahsan-83/Deep-Learning-Specialization-Coursera
Deep Learning Specialization
These are my solutions for the exercises in the Deep Learning Specialization offered by Andrew Ng on Coursera. Neural Networks and Deep Learning. Week 2. Logistic Regression with a Neural Network mindset. Week 3. Planar data classification with one hidden layer. Week 4. Building your Deep Neural Network - Step by Step.
Deep Learning Specialization Coursera [UPDATED Version 2021]
This Specialization was updated in April 2021 to include developments in deep learning and programming frameworks. One of the most major changes was shifting from Tensorflow 1 to Tensorflow 2. Also, new materials were added. However, Most of the old online repositories still don't have old codes. This repo contains updated versions of the ...
Where can I find the exercises to Andrew Ng's DL specialization?
I finished videos to Andrew Ng's Deep Learning specialization yesterday, and now I'd like to do some programming exercise. However, I can't find the dataset and problem description of assignments. I tried find them on Github, but the search result are all solutions to the assignments without datasets. Does anyone has the unsolved exercise ...
Coursera Deep Learning Specialization; thoughts and tips
My thoughts (and tips) on the Coursera 5-course Deep Learning Specialization.¶ I recently completed the Deep Learning specialization (a 5-course sequence) on the Coursera platform which was developed by deeplearning.ai with Andrew Ng. I had an overall very positive experience with it, and felt like it was well worth the cost to have Andrew Ng personally curate, organize and explain the most ...
Deep Learning Specialization [5 courses] (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 ...
Neural Networks and Deep Learning
Coursera Deep Learning Specialization View on GitHub Neural Networks and Deep Learning. In this course, you will learn the foundations of deep learning. When you finish this class, you will: Understand the major technology trends driving Deep Learning. Be able to build, train and apply fully connected deep neural networks.
Convolutional Neural Networks
This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images ...
Sequence Models
Sequence Models. This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural ...
Deep-Learning-Specialization
Coursera Deep Learning Specialization View on GitHub Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more ...
torhaa1/Deep-Learning-Specialization-Coursera
Contains Solutions to Deep Learning Specailization - Coursera - torhaa1/Deep-Learning-Specialization-Coursera
TensorFlow 2 for Deep Learning Specialization
The second course will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will use lower level APIs in TensorFlow to develop complex model architectures, fully customised layers, and a flexible data workflow. You will also expand your knowledge of ...
Structuring Machine Learning Projects
Coursera Deep Learning Specialization View on GitHub Structuring Machine Learning Projects. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project ...
GitHub
Personal dump of the notes/assignments for all five courses in the Deep Learning Specialization. - ardakdemir/deep-learning-specialization
Deeplearning course: Error in loading datasets
I wanted to have a copy of python assignments of the Deepleaning specilization by Andrew NG and to run them on my local machine. I have downloaded the assignments from this repository- https://gith...
GitHub
Write an unsupervised learning algorithm to Land the Lunar Lander Using Deep Q-Learning. The Rover was trained to land correctly on the surface, correctly between the flags as indicators after many unsuccessful attempts in learning how to do it. The final landing after training the agent using appropriate parameters : lunar_lander.mp4
Neural Networks and Deep Learning
There are 4 modules in this course. In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks ...
GitHub
Programming assignments and lecture notes from the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera. This repository contains my work on the assignments. The codebase, lecture notes, and citations are from the Deep Learning Specialization on Coursera, unless otherwise noted.
Improving Deep Neural Networks: Hyperparameter Tuning ...
By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety ...
Custom Models, Layers, and Loss Functions with TensorFlow
This Specialization is for early and mid-career software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models.
Structuring Machine Learning Projects
The Deep Learning Specialization is our 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. ... Coursera is one of the best places to go." Chaitanya A. ... Access to lectures and assignments depends on ...
Tools for Data Science Course by IBM
You will become familiar with the Data Scientist's tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio.
Programming for Everybody (Getting Started with Python ...
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
Introduction to Web Development with HTML, CSS, JavaScript
By learning the fundamentals of HTML5, CSS, and JavaScript you will be able to combine them to: - create the basic structure of a website - create format and layout for web applications - enhance your website and create rich, interactive applications - increase user interactivity and enhance user experience - give your website a real wow factor!
IMAGES
VIDEO
COMMENTS
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 - amanchadha/coursera-deep ...
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc. - abdur75648/Deep-Learning-Specialization-Coursera
Contains Solutions to Deep Learning Specailization - Coursera Topics python machine-learning deep-learning neural-network tensorflow coursera neural-networks convolutional-neural-networks coursera-specialization assignment-solutions
Programming assignments and lecture notes from the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera. This repository contains my work on the assignments. The codebase, lecture notes, and citations are from the Deep Learning Specialization on Coursera, unless otherwise noted.
Coursera / DeepLearning.AI have updated their Deep Learning Specialization in 2021.. This update contains some new assignments and some new videos.. So I put my own assignments here for record.. And hope it could be helpful to those who are learning these courses .. Note: This repo has no Course 1 and 3, cause Course 1 has no new assignment and Course 3 has no assignment.
Deep Learning Specialization course offered by DeepLearning.AI on Coursera - ahsan-83/Deep-Learning-Specialization-Coursera
These are my solutions for the exercises in the Deep Learning Specialization offered by Andrew Ng on Coursera. Neural Networks and Deep Learning. Week 2. Logistic Regression with a Neural Network mindset. Week 3. Planar data classification with one hidden layer. Week 4. Building your Deep Neural Network - Step by Step.
This Specialization was updated in April 2021 to include developments in deep learning and programming frameworks. One of the most major changes was shifting from Tensorflow 1 to Tensorflow 2. Also, new materials were added. However, Most of the old online repositories still don't have old codes. This repo contains updated versions of the ...
I finished videos to Andrew Ng's Deep Learning specialization yesterday, and now I'd like to do some programming exercise. However, I can't find the dataset and problem description of assignments. I tried find them on Github, but the search result are all solutions to the assignments without datasets. Does anyone has the unsolved exercise ...
My thoughts (and tips) on the Coursera 5-course Deep Learning Specialization.¶ I recently completed the Deep Learning specialization (a 5-course sequence) on the Coursera platform which was developed by deeplearning.ai with Andrew Ng. I had an overall very positive experience with it, and felt like it was well worth the cost to have Andrew Ng personally curate, organize and explain the most ...
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 ...
Coursera Deep Learning Specialization View on GitHub Neural Networks and Deep Learning. In this course, you will learn the foundations of deep learning. When you finish this class, you will: Understand the major technology trends driving Deep Learning. Be able to build, train and apply fully connected deep neural networks.
This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images ...
Sequence Models. This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural ...
Coursera Deep Learning Specialization View on GitHub Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more ...
Contains Solutions to Deep Learning Specailization - Coursera - torhaa1/Deep-Learning-Specialization-Coursera
The second course will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will use lower level APIs in TensorFlow to develop complex model architectures, fully customised layers, and a flexible data workflow. You will also expand your knowledge of ...
Coursera Deep Learning Specialization View on GitHub Structuring Machine Learning Projects. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project ...
Personal dump of the notes/assignments for all five courses in the Deep Learning Specialization. - ardakdemir/deep-learning-specialization
I wanted to have a copy of python assignments of the Deepleaning specilization by Andrew NG and to run them on my local machine. I have downloaded the assignments from this repository- https://gith...
Write an unsupervised learning algorithm to Land the Lunar Lander Using Deep Q-Learning. The Rover was trained to land correctly on the surface, correctly between the flags as indicators after many unsuccessful attempts in learning how to do it. The final landing after training the agent using appropriate parameters : lunar_lander.mp4
There are 4 modules in this course. In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. By the end, you will be familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks ...
Programming assignments and lecture notes from the Deep Learning Specialization taught by Andrew Ng and offered by deeplearning.ai on Coursera. This repository contains my work on the assignments. The codebase, lecture notes, and citations are from the Deep Learning Specialization on Coursera, unless otherwise noted.
By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety ...
This Specialization is for early and mid-career software and machine learning engineers with a foundational understanding of TensorFlow who are looking to expand their knowledge and skill set by learning advanced TensorFlow features to build powerful models.
The Deep Learning Specialization is our 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. ... Coursera is one of the best places to go." Chaitanya A. ... Access to lectures and assignments depends on ...
You will become familiar with the Data Scientist's tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
By learning the fundamentals of HTML5, CSS, and JavaScript you will be able to combine them to: - create the basic structure of a website - create format and layout for web applications - enhance your website and create rich, interactive applications - increase user interactivity and enhance user experience - give your website a real wow factor!