The repository includes Jupyter notebooks with deep learning examples in Python.
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Updated
Aug 5, 2022 - Jupyter Notebook
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
The repository includes Jupyter notebooks with deep learning examples in Python.
Some DNN model optimization experiments and notebooks
tensorflow sample problems (IPython Notebooks).
My machine learning notebooks. Feel free to use for your purposes.
Machine Learning and Kaggle Notebooks in Python and (little bit) Julia!
Deep learning notebooks for me by me
A collection of machine learning notebooks created for learning purposes.
Jupyter notebooks on various datasets
This python code is a part of ongoing hackathon "Loan Prediction" at Analytics Vidhya
assignments from deep learning course, computer vision course, phdopen
Esta es una colección de proyectos de MachineLearning que he realizado adentrándome en el mundo de los datos, principalmente utilizando las librerías de Python: pandas, SKLearn, TensorFlow, Keras, NumPy, matplotlib y seaborn.
Collection of Machine Learning Jupyter Notebooks.
Notebooks on Machine Learning, in particular, Deep Learning Concepts.
Deep Learning Machine Learning Templates
Jupyter Notebook projects with Deep Learning.
Second Deep learning project
Train a deep learning model to decode the traffic sign images
In this notebook, we predict student admissions to graduate school at UCLA