58 docs tagged with "Tensorflow"

Using Tensorflow to classify Disaster Tweet.

Learn how to train a 3D convolutional neural network (3D CNN) to predict presence of pneumonia.

Data Inspection and Pre-processing

Balancing skewed datasets and data augmentation

Model creation based on a pre-trained and a custom model

Train our model to fit the dataset

Evaluate the performance of your trained model

Running Predictions

Deep Audio Classifier with Tensorflow

Use Adversarial Networks to generate Images

Shanghai, China

Shanghai, China

Keras is built on top of TensorFlow 2 and provides an API designed for human beings.

Building a deep neural network using the MNIST dataset.

Convolutional Neural Networks are ideal for Computer Vision tasks.

Recurrent Neural Networks are widely used to work with sequence data such as time series or natural language.

An example convolutional neural network is the VGG16 Architecture.

Generate text using a character-based RNN

Tensor Constants, Variables and Attributes

Tensor Indexing, Expanding and Manipulations

Matrix multiplications, Squeeze, One-hot and Numpy

Computer Vision for Binary Image Classifications

Computer Vision for Multiclass Image Classifications

Working with a non-linear dataset and activation functions

Model Evaluation and Performance Improvement

Model Evaluation and Performance Improvement

Multiclass Classification Problems

Building a Regression Model and Improving it's Performance

Visualizing Models and Evaluating Model Performance

Optimizing model performance

Data pre-processing - normalization and feature-scaling

Working with the medical cost dataset

Using a Pre-trained Model to Extract Features

Fine-tuning Pre-trained Models

Scale a pre-trained model to fit your needs

Use Autoencoders to Reduce Dimensionality and Feature Discovery

Use Autoencoders to Increase Feature Resolution

Generative Adverserial Networks for Image Data Generation

Mong Kok, Hongkong

DeepDream is an experiment that visualizes the patterns learned by a neural network.

Using Representation Learning to Downsample Images

TensorFlow Hub is a repository of trained machine learning models.

The CIFAR-10 is a labeled subset of the 80 million tiny images dataset that can be directly downloaded using Keras.

Build a Denoising Autoencoder in Tensorflow using the mnist Digits Dataset

Once you build a machine learning model, the next step is to serve it with TensorFlow Serving.

Transfer learning is a machine learning technique in which intelligence from a base ann is being transferred to a new network as a starting point.

Mong Kok, Hongkong

Mong Kok, Hongkong

Mong Kok, Hongkong

Mong Kok, Hongkong

Mong Kok, Hongkong

Mong Kok, Hongkong

Using Tensorflow models in OpenCV to perform semantic segmentations on images using the Mask-RCNN model.

Shenzhen, China

Shenzhen, China

Shenzhen, China

Shenzhen, China

Converting a YOLOv7 PyTorch Model to Tensorflow (Lite)