MP4 | h264, 1280x720 | Lang: English | Audio: AAC, 44.1 KHz | 14h 27m | 6.05 GB
Work on 6 Projects, Hands-On TensorFlow 2.0, Keras, Deep Learning and Artificial Intelligence ! What you'll learn
Complete Understanding of TensorFlow 2.0 from the Scratch
Artificial Neural Networks (ANNs)
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Transfer Learning
Natural Language Processing
Data Analysis with Numpy, Pandas and Data Visualization with MatDescriptionlib
Description :
Google has recently released TensorFlow 2.0, it has so many features that simplify the Model Development, Maintenance, Processes and Performance .
Why TensorFlow 2.0 ?
Whether you're an expert or a beginner, TensorFlow 2.0 is an end-to-end platform that makes it easy for you to build and deploy ML models
With the TensorFlow 2.0,
1) Building the Model is very Easy
2) Robust ML production anywhere
3) Powerful experimentation for research
With this course you will have the Complete Understanding of TensorFlow 2.0 from very Beginning !
List of the Projects,
Project 1: CNN for Digit Recognition
Project 2: CNN for Breast Cancer Detection
Project 3: CNN for Predicting the Bank Customer Satisfaction
Project 4: CNN for Credit Card Fraud Detection
Project 5: RNN - LSTM for IMDB Review Classification
Project 6: Google Stock Price Prediction with RNN and LSTM
Main Topics Covered in this Course,
Part 1: Introduction (Section 1)
Part 2: Artificial Neural Networks (Section 2 - Section 4)
Part 3: Convolutional Neural Networks (Section 5 - Section 11)
Part 4: Recurrent Neural Networks (Section 12 - Section 15)
Part 5: Transfer Learning
Part 6: Natural Language Processing (Section 16)
Part 7: Data Analysis with Numpy, Pandas and Data Visualization with MatDescriptionlib (Section 17 - Section 19)
Who this course is for :
Anyone who wants to start a career in the field of Data Science
Anyone Passionate about Deep Learning and Artificial Intelligence
DOWNLOAD:
- Citación :
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