Tensorflow Course Containing Colab Files for Machine Learning, Natural Language Processing And Deep Learning Implementation

• How to use Tensorflow 2.0 in Data Science
• Important differences between Tensorflow 1.x and Tensorflow 2.0
• How to implement Artificial Neural Networks in Tensorflow 2.0
• How to implement Convolutional Neural Networks in Tensorflow 2.0
• How to implement Recurrent Neural Networks in Tensorflow 2.0
• How to build your own Transfer Learning application in Tensorflow 2.0
• How to build a stock market trading bot using Reinforcement Learning(Deep-Q Network)
• How to build Machine Learning Pipeline in Tensorflow 2.0
• How to conduct Data Validation and Dataset Preprocessing using TensorFlow Data Validation and TensorFlow Transform.
• Putting a TensorFlow 2.0 model into production
• How to create a Fashion API with Flask and TensorFlow 2.0
• How to serve a TensorFlow model with RESTful API

1. Introduction
2. Building an ANN
3. Building a CNN
4. Building a RNN
5. Transfer Learning and Fine Tuning
6. Deep Reinforcement Learning
7. Data Validation with Tensorflow Data Validation (TFDV)
8. Data Preprocessing with Tensorflow Transform (TFT)
9. Image Classification API
10. Preparing a Tensorflow Model for Mobile Device with Tensorflow-Lite
11. Distributed Training of Tensorflow 2.0 Models

Kirill Eremenko ,Data Scientist

1. Course Reference Thumbnail

Udemy

2. Provided By

Note from Them - We are the SuperDataScience Social team. You will be hearing from us when new SDS courses are released, when we publish new podcasts, blogs, share cheatsheets and more!.We are here to help you stay on the cutting edge of Data Science and Technology.

3. Certificate

Verified Certificate

4. I am Extremely ThankFull For

Course Link -> Udemy

5. Similar Courses

1. Power BI A-Z_Hands-On Power BI Training For Data Science -> Course link - Github Link
2. Modern-Natural-Language-Processing-in-Python-Udemy -> link - Github Link