tensorflow tutorial

Neural Networks

Recurrent Neural Networks Tutorial

This Edureka Recurrent Neural Networks tutorial video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs. The last section includes a use-case of LSTM to predict the next […]

Read More
Natural Language Processing TensorFlow

Text Classification Using BERT & Tensorflow

Using BERT and Tensorflow 2.0, we will write simple code to classify emails as spam or not spam. BERT will be used to generate sentence encoding for all emails and after that we will use a simple neural network with one drop out layer and one output layer.

Read More
Data Science Machine Learning

How to Use Data Augmentation to Address Overfitting

codebasics explains how to use data augmentation to address overfitting. When we don’t have enough training samples to cover diverse cases in image classification, often CNN might overfit. To address this we use a technique called data augmentation in deep learning. Data augmentation is used to generate new training samples from current training set using […]

Read More
AI Deep Learning

Deep Learning New Frontiers

MIT Introduction to Deep Learning 6.S191: Lecture 6 with Ava Soleimany. Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!! Lecture Outline 0:00 – Introduction 0:58 – Course logistics 3:59 – Upcoming guest lectures 5:35 – Deep learning and expressivity […]

Read More