Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.
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Updated
Oct 11, 2016 - Python
Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.
Enable TensorBoard for TensorFlow Go API
In this project, autonomous driving of a car around a cicular track is achieved using Deep Learning. Car driving skill and nature of human(s) is recorded and a network is trained to clone this behavior. The car then uses predictions fron the trained network to drive autonomously.
Jupyter Notebooks of my Deep Learning Experiments with Tensorflow.
Neural Networks using Keras (with Image recognition case study)
Lab to illustrate working with TensorFlow using an Amazon Deep Learning AMI (DLAMI)
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
This Repository contains the different machine learning projects with different models from logistic regression model to the complicated convolutional neuronal networks.
Face Recognition with Transfer Learning
logging utility for tensorboard
📊 📈 📉 👀 Graph Visualization using Tensorboard
KAG CTF EU 3 2017-2018 word embeddings
This is the code for "predict MNIST datasets using pure Tensorflow and Keras, a shallow learning model" By M.Junaid Fiaz
Visualize Image Embeddings on Tensorboard
A simple program on how you can use tensor-board for visualization and how you can freeze your model graph and later use if for testing
Scene Classification using pytorch : Dataset created using frames from youtube videos
Homework for the advanced neural networks course
This works is an analysis of the feature space and comparison of the discriminative capability of features obtained from Autoencoders .In Deep learning literature these problems statements are called representation learning and through this work MNIST feature space and it's intricacies are visualized .
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