Jupyter Notebooks of my Deep Learning Experiments with Tensorflow.
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Updated
Jul 29, 2017 - Jupyter Notebook
Jupyter Notebooks of my Deep Learning Experiments with Tensorflow.
A series of documented Jupyter notebooks implementing various neural nets.
jupyter notebook to play with mnist data set and scikit-learn
A deep learning implementation to recognize single integers from integers. Implemented with tensorflow. **Requires IPython Notebooks to be run ;)
Collection of tensorflow notebooks tutorials for implementing some basic Deep Learning architectures.
This is the code for "MNIST using CNN in Keras" By M.Junaid Fiaz
This repository contains a notebook to take you through step by step guide on recognizing handwritten digits using a Multi-Layer-Perceptron(MLP)
Implementations of deep learning algorithms
Files and Notebooks for Kaggle MNIST
Some useful examples of Deep Learning (.ipynb)
Implementation of Deep-learning techniques in pytorch
Golang implementation of a single hidden layer feed forward neural network based on the Python notebook for Make Your Own Neural Network by Tariq Rashid
In the series of Python notebooks I am going to practice solving questions with common data science and machine learning techniques and I am going to share the notebooks here.
📓 Making predictions from the MNIST dataset using TensorFlow and Keras
Notebook examples with tensorboard.dev
Notebooks containing various tools useful for data science
This notebook implements a neural network using Julia Flux to recognize handwritten digits from MNIST dataset.
python code, notebooks and Images used for AI502 Midterm Project.
Notebooks on PCA(Principal Component Analysis)
Some coding stuff from various machine learning books
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