GitHub - edyoda/tensorflow-tutorial: Machine learning & Deep learning using TensorFlow

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Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
1 DCNN.ipynb		1 DCNN.ipynb
2018-05-28-PHOTO-00000002.jpg		2018-05-28-PHOTO-00000002.jpg
Activation Function comparison - Sigmoid vs ReLu.ipynb		Activation Function comparison - Sigmoid vs ReLu.ipynb
Activation Function comparison .ipynb		Activation Function comparison .ipynb
Adding dropout to prevent overfitting.ipynb		Adding dropout to prevent overfitting.ipynb
Amazon Food Review Analysis.ipynb		Amazon Food Review Analysis.ipynb
Amazon Food Review.ipynb		Amazon Food Review.ipynb
Amazon Food Reviews Sentiment Classifier.ipynb		Amazon Food Reviews Sentiment Classifier.ipynb
Applying pooling layers.ipynb		Applying pooling layers.ipynb
Autoencoders in Keras.ipynb		Autoencoders in Keras.ipynb
Autoencoders using ANN.ipynb		Autoencoders using ANN.ipynb
Autoencoders with CNN.ipynb		Autoencoders with CNN.ipynb
Bidirectional RNNs.ipynb		Bidirectional RNNs.ipynb
Bike-Sharing-Dataset (1).zip		Bike-Sharing-Dataset (1).zip
Bike.7z		Bike.7z
Bitcoin Prediction.ipynb		Bitcoin Prediction.ipynb
CIFAR10 - Image classification.ipynb		CIFAR10 - Image classification.ipynb
CNN Project - Image Classification.ipynb		CNN Project - Image Classification.ipynb
CNN on MNIST .ipynb		CNN on MNIST .ipynb
CNN on Text Data - IMDB review sentiment analysis.ipynb		CNN on Text Data - IMDB review sentiment analysis.ipynb
Caption Images.ipynb		Caption Images.ipynb
Chatbot.ipynb		Chatbot.ipynb
Classification Neural Network using MNIST.ipynb		Classification Neural Network using MNIST.ipynb
Complete Image Captioning.ipynb		Complete Image Captioning.ipynb
Computer Vision.ipynb		Computer Vision.ipynb
Convolutional Neural Networks.ipynb		Convolutional Neural Networks.ipynb
DCGAN.ipynb		DCGAN.ipynb
Executing Deep Learning. 1 DogBreed Prediction using Pretrained VGG19 .ipynb		Executing Deep Learning. 1 DogBreed Prediction using Pretrained VGG19 .ipynb
Experimenting with different optimizers.ipynb		Experimenting with different optimizers.ipynb
Experimenting with different types of initilization.ipynb		Experimenting with different types of initilization.ipynb
Face_Identification.ipynb		Face_Identification.ipynb
ForestFire using TensorFlow - Low Level.ipynb		ForestFire using TensorFlow - Low Level.ipynb
GAN.ipynb		GAN.ipynb
Gated recurrent unit - GRU .ipynb		Gated recurrent unit - GRU .ipynb
Generative Adversarial Networks.ipynb		Generative Adversarial Networks.ipynb
Implementing a single-layer neural network.ipynb		Implementing a single-layer neural network.ipynb
Keras - Finding the right activation function.ipynb		Keras - Finding the right activation function.ipynb
Keras - Intro.ipynb		Keras - Intro.ipynb
Linear Regression using TensorFlow .ipynb		Linear Regression using TensorFlow .ipynb
Logistic Regression using TensorFlow.ipynb		Logistic Regression using TensorFlow.ipynb
Medical No Show - RD, DNN.ipynb		Medical No Show - RD, DNN.ipynb
Nearest Neighbor using TensorFlow.ipynb		Nearest Neighbor using TensorFlow.ipynb
Neural Network with MNIST.ipynb		Neural Network with MNIST.ipynb
Neural Networks using TensorFlow 2.ipynb		Neural Networks using TensorFlow 2.ipynb
Neural Networks using TensorFlow.ipynb		Neural Networks using TensorFlow.ipynb
One Layer Neural Network with IRIS data using TensorFlow.ipynb		One Layer Neural Network with IRIS data using TensorFlow.ipynb
Optimizing with Batch Normalization.ipynb		Optimizing with Batch Normalization.ipynb
Padding in CNN.ipynb		Padding in CNN.ipynb
Pre-Trained Model.ipynb		Pre-Trained Model.ipynb
Pretrained.ipynb		Pretrained.ipynb
Project - Attack Prediction using Neural Network.ipynb		Project - Attack Prediction using Neural Network.ipynb
Random Forest using TensorFlow.ipynb		Random Forest using TensorFlow.ipynb
Recognizing CIFAR-10 images with deep learning.ipynb		Recognizing CIFAR-10 images with deep learning.ipynb
Sentiment Prediction Twitter data.ipynb		Sentiment Prediction Twitter data.ipynb
TF 1 - Module 1.ipynb		TF 1 - Module 1.ipynb
TF1. Introducing TensorFlow.ipynb		TF1. Introducing TensorFlow.ipynb
TF2. - Graphs, Sessions, Fetches.ipynb		TF2. - Graphs, Sessions, Fetches.ipynb
TF3. Linear Regression using TensorFlow.ipynb		TF3. Linear Regression using TensorFlow.ipynb
Temperature Prediction.ipynb		Temperature Prediction.ipynb
Training Last Few Layers.ipynb		Training Last Few Layers.ipynb
Training Last Layer.ipynb		Training Last Layer.ipynb
Transfer Learning.ipynb		Transfer Learning.ipynb
Understanding Neural Networks - 1.ipynb		Understanding Neural Networks - 1.ipynb
Understanding Regularization using Bike Data.ipynb		Understanding Regularization using Bike Data.ipynb
graph1.png		graph1.png
winequality-red.csv		winequality-red.csv