h264, yuv420p, 1280×720 |ENGLISH, aac, 44100 Hz, 2 channels, s16 | 13h 55mn | 6.2 GBInstructor: Vijay GadhaveWork on 6 Projects, Learn Deep Learning, AI, Keras, Python, ANN, CNN, RNN, LSTM, Transfer Learning, Autoencoder, NLP !What you’ll learnComplete Understanding of TensorFlow 2.0 from the ScratchArtificial Neural Networks (ANNs)Convolutional Neural Networks (CNNs)Recurrent Neural Networks (RNNs)Transfer LearningAutoencodersNatural Language ProcessingData Analysis with Numpy, Pandas and Data Visualization with MatplotlibRequirementsPython Programming BasicsMachine Learning BasicsDescriptionGoogle 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 modelsWith the TensorFlow 2.0,1) Building the Model is very Easy2) Robust ML production anywhere3) Powerful experimentation for researchWith this course you will have the Complete Understanding of TensorFlow 2.0 from very Beginning !List of the Projects,Project 1: CNN for Digit RecognitionProject 2: CNN for Breast Cancer DetectionProject 3: CNN for Predicting the Bank Customer SatisfactionProject 4: CNN for Credit Card Fraud DetectionProject 5: RNN – LSTM for IMDB Review ClassificationProject 6: Google Stock Price Prediction with RNN and LSTMMain 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 LearningPart 6: AutoencodersPart 7: Natural Language Processing (Section 16)Part 8: Data Analysis with Numpy, Pandas and Data Visualization with Matplotlib (Section 17 – Section 19)Regards,Vijay GadhaveWho this course is for:Anyone who wants to start a career in the field of Data ScienceAnyone Passionate about Deep Learning and Artificial Intelligence
