From linear regression towards neural networks...
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Updated
Apr 30, 2024 - C++
From linear regression towards neural networks...
"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"
Data Structures, Algorithms and Machine Learning Optimization
A news article's title and description should be classified into the following groups in order to solve this classification problem: 1-World, 2-Sports, 3-Business and 4-Science/Tech .Here is a sequence of data. This is a sequential problem, thus we may use bidirectional LSTM for classification since we have access to the data.
Hands-On Deep Learning Algorithms with Python, By Packt
Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".
Gradient_descent_Complete_In_Depth_for beginners
Assignment submission for the course Fundamentals of Deep Learning (CS6910) in the Spring 2022 Semester, under Prof. Mitesh Khapra
Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers
A deep learning classification program to detect the CT-scan results using python
This repository contains a python implementation of Feed Forward Neural Network with Backpropagation, along with the example scripts for training the network to classify images from mnist and fashion_mnist datasets from keras.
Analyze the performance of 7 optimizers by varying their learning rates
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
A comparison between implementations of different gradient-based optimization algorithms (Gradient Descent, Adam, Adamax, Nadam, Amsgrad). The comparison was made on some of the most common functions used for testing optimization algorithms.
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
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