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Deep Learning for Beginners in Python: Work On 12+ Projects

#artificialintelligence

Created by Vijay Gadhave Students also bought Natural Language Processing (NLP) with Python: 2020 Machine Learning using Python: Learn Hands-On Real-World Machine Learning Projects with Scikit-Learn Data Science for AI and Machine Learning Using Python Data Science Projects with Python Speech Recognition A-Z with Hands-on Preview this Udemy Course GET COUPON CODE Description The Artificial Intelligence and Deep Learning are growing exponentially in today's world. There are multiple application of AI and Deep Learning like Self Driving Cars, Chat-bots, Image Recognition, Virtual Assistance, ALEXA, so on... With this course you will understand the complexities of Deep Learning in easy way, as well as you will have A Complete Understanding of Googles TensorFlow 2.0 Framework TensorFlow 2.0 Framework has amazing features that simplify the Model Development, Maintenance, Processes and Performance In TensorFlow 2.0 you can start the coding with Zero Installation, whether you're an expert or a beginner, in this course you will learn an end-to-end implementation of Deep Learning Algorithms List of the Projects that you will work on, Part 1: Artificial Neural Networks (ANNs) Project 1: Multiclass image classification with ANN Project 2: Binary Data Classification with ANN Part 2: Convolutional Neural Networks (CNNs) Project 3: Object Recognition in Images with CNN Project 4: Binary Image Classification with CNN Project 5: Digit Recognition with CNN Project 6: Breast Cancer Detection with CNN Project 7: Predicting the Bank Customer Satisfaction Project 8: Credit Card Fraud Detection with CNN Part 3: Recurrent Neural Networks (RNNs) Project 9: IMDB Review Classification with RNN - LSTM Project 10: Multiclass Image Classification with RNN - LSTM Project 11: Google Stock Price Prediction with RNN and LSTM Part 4: Transfer Learning Part 5: Natural Language Processing Basics of Natural Language Processing Project 12: Movie Review Classifivation with NLTK Part 6: Data Analysis and Data Visualization Crash Course on Numpy (Data Analysis) Crash Course on Pandas (Data Analysis) Crash course on Matplotlib (Data Visualization) With this course you will learn, 1) To buils the Neural Networks from the scratch 2) You will have a complete understanding of Artificial Neural Networks, Convolutional Neural Networks and Recurrent Neural Networks 3) You will learn to built the neural networks with LSTM and GRU 4) Hands On Transfer Learning 5) Learn Natural Language Processing by doing a text classifiation project 6) Improve your skills in Data Analysis with Numpy, Pandas and Data Visualization with Matplotlib So what are you waiting for, Enroll Now and understand Deep Learning to advance your career and increase your knowledge!


Deep Learning for Beginners in Python: Work On 12+ Projects

#artificialintelligence

Created by Vijay GadhavePreview this Course - GET COUPON CODE The Artificial Intelligence and Deep Learning are growing exponentially in today's world. There are multiple application of AI and Deep Learning like Self Driving Cars, Chat-bots, Image Recognition, Virtual Assistance, ALEXA, so on... With this course you will understand the complexities of Deep Learning in easy way, as well as you will have A Complete Understanding of Googles TensorFlow 2.0 Framework TensorFlow 2.0 Framework has amazing features that simplify the Model Development, Maintenance, Processes and Performance In TensorFlow 2.0 you can start the coding with Zero Installation, whether you're an expert or a beginner, in this course you will learn an end-to-end implementation of Deep Learning Algorithms List of the Projects that you will work on, Part 1: Artificial Neural Networks (ANNs) Project 1: Multiclass image classification with ANN Project 2: Binary Data Classification with ANN Part 2: Convolutional Neural Networks (CNNs) Project 3: Object Recognition in Images with CNN Project 4: Binary Image Classification with CNN Project 5: Digit Recognition with CNN Project 6: Breast Cancer Detection with CNN Project 7: Predicting the Bank Customer Satisfaction Project 8: Credit Card Fraud Detection with CNN Part 3: Recurrent Neural Networks (RNNs) Project 9: IMDB Review Classification with RNN - LSTM Project 10: Multiclass Image Classification with RNN - LSTM Project 11: Google Stock Price Prediction with RNN and LSTM Part 4: Transfer Learning Part 5: Natural Language Processing Basics of Natural Language Processing Project 12: Movie Review Classifivation with NLTK Part 6: Data Analysis and Data Visualization Crash Course on Numpy (Data Analysis) Crash Course on Pandas (Data Analysis) Crash course on Matplotlib (Data Visualization) With this course you will learn, 1) To built the Neural Networks from the scratch 2) You will have a complete understanding of Artificial Neural Networks, Convolutional Neural Networks and Recurrent Neural Networks 3) You will learn to built the neural networks with LSTM and GRU 4) Hands On Transfer Learning 5) Learn Natural Language Processing by doing a text classifiation project 6) Improve your skills in Data Analysis with Numpy, Pandas and Data Visualization with Matplotlib So what are you waiting for, Enroll Now and understand Deep Learning to advance your career and increase your knowledge! Who this course is for: Anyone who wants to learn Deep Learning and AI Students and Professionals who want to start a career in Data Science, Deep Learning and AI 100% Off Udemy Coupon . The Artificial Intelligence and Deep Learning are growing exponentially in today's world.


Deep Learning for Beginners in Python: Work On 12+ Projects

#artificialintelligence

Hot & New Created by Vijay Gadhave English English [Auto] PREVIEW THIS COURSE - GET COUPON CODE Description The Artificial Intelligence and Deep Learning are growing exponentially in today's world. There are multiple application of AI and Deep Learning like Self Driving Cars, Chat-bots, Image Recognition, Virtual Assistance, ALEXA, so on... With this course you will understand the complexities of Deep Learning in easy way, as well as you will have A Complete Understanding of Googles TensorFlow 2.0 Framework TensorFlow 2.0 Framework has amazing features that simplify the Model Development, Maintenance, Processes and Performance In TensorFlow 2.0 you can start the coding with Zero Installation, whether you're an expert or a beginner, in this course you will learn an end-to-end implementation of Deep Learning Algorithms List of the Projects that you will work on, Part 1: Artificial Neural Networks (ANNs) Project 1: Multiclass image classification with ANN Project 2: Binary Data Classification with ANN Part 2: Convolutional Neural Networks (CNNs) Project 3: Object Recognition in Images with CNN Project 4: Binary Image Classification with CNN Project 5: Digit Recognition with CNN Project 6: Breast Cancer Detection with CNN Project 7: Predicting the Bank Customer Satisfaction Project 8: Credit Card Fraud Detection with CNN Part 3: Recurrent Neural Networks (RNNs) Project 9: IMDB Review Classification with RNN - LSTM Project 10: Multiclass Image Classification with RNN - LSTM Project 11: Google Stock Price Prediction with RNN and LSTM Part 4: Transfer Learning Part 5: Natural Language Processing Basics of Natural Language Processing Project 12: Movie Review Classifivation with NLTK Part 6: Data Analysis and Data Visualization Crash Course on Numpy (Data Analysis) Crash Course on Pandas (Data Analysis) Crash course on Matplotlib (Data Visualization) With this course you will learn, 1) To buils the Neural Networks from the scratch 2) You will have a complete understanding of Artificial Neural Networks, Convolutional Neural Networks and Recurrent Neural Networks 3) You will learn to built the neural networks with LSTM and GRU 4) Hands On Transfer Learning 5) Learn Natural Language Processing by doing a text classifiation project 6) Improve your skills in Data Analysis with Numpy, Pandas and Data Visualization with Matplotlib So what are you waiting for, Enroll Now and understand Deep Learning to advance your career and increase your knowledge!


Deep Learning for Beginners in Python: Work On 12+ Projects

#artificialintelligence

Get Coupon Code Hot & New What you'll learn Complete Understanding of Deep Learning from the Scratch Building the Artificial Neural Networks (ANNs) from the Scratch Artificial Neural Networks (ANNs) for Binary Data Classification Building Convolutional Neural Networks from the Scratch Convolutional Neural Network for Image Classification Convolutional Neural Network for Digit Recognition Breast Cancer Detection with Convolutional Neural Networks Convolutional Neural Networks for Predictive Analysis Convolutional Neural Networks for Fraud Detection Building the Recurrent Neural Networks (ANNs) from Scratch Review Classification with LSTM and GRU LSTM and GRU for Image Classification Prediction of Google Stock Price with RNN and LSTM Natural Language Processing Crash Course on Numpy (Data Analysis) Crash Course on Pandas (Data Analysis) Crash course on Matplotlib (Data Visualization) Description The Artificial Intelligence and Deep Learning are growing exponentially in today's world. There are multiple application of AI and Deep Learning like Self Driving Cars, Chat-bots, Image Recognition, Virtual Assistance, ALEXA, so on... With this course you will understand the complexities of Deep Learning in easy way, as well as you will have A Complete Understanding of Googles TensorFlow 2.0 Framework TensorFlow 2.0 Framework has amazing features that simplify the Model Development, Maintenance, Processes and Performance In TensorFlow 2.0 you can start the coding with Zero Installation, whether you're an expert or a beginner, in this course you will learn an end-to-end implementation of Deep Learning Algorithms List of the Projects that you will work on, Part 1: Artificial Neural Networks (ANNs) Project 1: Multiclass image classification with ANN Project 2: Binary Data Classification with ANN Part 2: Convolutional Neural Networks (CNNs) Project 3: Object Recognition in Images with CNN Project 4: Binary Image Classification with CNN Project 5: Digit Recognition with CNN Project 6: Breast Cancer Detection with CNN Project 7: Predicting the Bank Customer Satisfaction Project 8: Credit Card Fraud Detection with CNN Part 3: Recurrent Neural Networks (RNNs) Project 9: IMDB Review Classification with RNN - LSTM Project 10: Multiclass Image Classification with RNN - LSTM Project 11: Google Stock Price Prediction with RNN and LSTM Part 4: Transfer Learning Part 5: Natural Language Processing Basics of Natural Language Processing Project 12: Movie Review Classifivation with NLTK Part 6: Data Analysis and Data Visualization Crash Course on Numpy (Data Analysis) Crash Course on Pandas (Data Analysis) Crash course on Matplotlib (Data Visualization)


Natural Language Processing (NLP) with Python: 2020

#artificialintelligence

Bestseller Created by Ankit Mistry, Vijay Gadhave, Data Science & Machine Learning Academy English [Auto] Students also bought Unsupervised Deep Learning in Python Recommender Systems and Deep Learning in Python Deep Learning: Advanced Computer Vision (GANs, SSD, More!) Deep Learning: GANs and Variational Autoencoders Unsupervised Machine Learning Hidden Markov Models in Python Machine Learning and AI: Support Vector Machines in Python Preview this course GET COUPON CODE Description Recent reviews: "Very practical and interesting, Loved the course material, organization and presentation. Thank you so much" "This is the best course to learn NLP from the basic. According to statista dot com which field of AI is predicted to reach $43 billion by 2025? If answer is'Natural Language Processing', You are at right place. How Android speech recognition recognize your voice with such high accuracy.