Transfer Learning With MobileNetV2
In this notebook we will be learning how to use Transfer Learning to create the powerful convolutional neural network with a very little effort, with the help of MobileNetV2 developed by Google that has been trained on large dataset of images.
Creating Tensors with different functions in Tensorflow
We can make the tensors from the known values. The tf package provides seven function which we can use to from tensors with known values. Constant,zeros,ones,fill etc.
Creating Tensors in Tensorflow
Every program we developed is started by declaring the variables, most Tensorflow applications we start developing is started by creating the tensors.
Exploring the Tensorflow
Once you install the Tensorflow, that contains the wide variety of files and folders. Two top level folders are particularly important. The core directory and the contrib directory.
The Evolution of Machine Learning
The development of Machine Learning started from very early. Different scientists and researchers hard work and research made much Machine Learning possible in a way we are learning now.
TensorFlow 2.0 Beta is Here!
With TensorFlow 2.0, these will be packaged together into a comprehensive platform that supports machine learning workflows from training through deployment.
YAD2K : Yet Another Darknet 2 Keras
YAD2K is used to convert Darknet models to Keras. YAD2K is 90% of keras and 10% of Tensorflow implementation of YOLO_v2.Original paper: YOLO9000: Better, Faster, Stronger by Joseph Redmond and Ali Farhadi.
Machine Learning Libraries in Python
Today,Python is a trending language in the industry and it replaced many of the other programming languages.Machine Learning got easier in Python than from any other language. Whether it is Machine learning or Artificial Intelligence or Data Science it is fun doing with Python.