[Free Course-Udemy] — The Ultimate 2019 Deep Learning & machine Learning Bootcamp — UpWorkDownload

programmer nepal
Nov 5 · 2 min read

Use Tensorflow, Keras & Python to build Feedforward, Convolutional, Recurrent, generative Adversarial Networks &more…

This course was designed to bring anyone up to speed on Machine Learning & deep learning in the shortest time.

This particular field in computer engineering has gained an exponential growth in interest worldwide following major progress in these fields.

The course starts with building on foundation concepts relating to neural Networks, Then the course goes over TensorFlow libraries and Python language to get students ready to build practical projects.

The course will go through four types of neural networks:

  1. The simple feedforward
  2. Convolution
  3. Recurrent
  4. Generative Adversarial

You will build a practical TensorFlow project for each of the above Neural Networks. You will be shown exactly how to write the codes for the models, train and evaluate them.

Here is a list of the project the students will implement:

  1. Build a Simple Feedforward Network for MNIST dataset, a dataset, a dataset of handwritten digits
  2. Build a Convolution Networks to classify Fashion items, from the Fashion MNIST dataset
  3. Build a recurrent Network to generate a text similar to Shakespeare text
  4. Build a Generative Adversarials Network to generate images similar to MNIST dataset.

Intro Video


Originally published at https://upworkdownload.xyz on November 5, 2019.

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