YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras VS coursera-deep-learning-specialization

Compare YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras vs coursera-deep-learning-specialization and see what are their differences.

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 (by amanchadha)
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YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras coursera-deep-learning-specialization
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over 2 years ago 24 days ago
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YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras

Posts with mentions or reviews of YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-02.

coursera-deep-learning-specialization

Posts with mentions or reviews of coursera-deep-learning-specialization. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras and coursera-deep-learning-specialization you can also consider the following projects:

probability - Probabilistic reasoning and statistical analysis in TensorFlow

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow - Identify Handwritten Digits using CNN with TensorFlow

stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]

YPDL-Build-a-movie-recommendation-engine-with-TensorFlow - In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched already. The datasets we are going to use are acquired from GroupLens and contains movies, users, and movie ratings by these users.

deeplearning-notes - Notes for Deep Learning Specialization Courses led by Andrew Ng.

YourPathToDeepLearning - Sequel to our infamous Your Path to AI Series. We are introducing this new advanced level series for audience interested to specialise in Deep Learning. This repository holds all the resources for the series for you to catch up in case you have missed it.

Emotion_Detection_CNN_keras - Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.

start-machine-learning - A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

Soevnn - A neural net with a terminal-based testing program.

Respiratory-Disease-Coughing-Dataset-CNN - A collection of coughing audio files from Coswara, Coughvid, and Virufy as well as generated spectrograms for the use of machine learning