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Archived
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01.01-introduction_to_ai_sciences.mkv
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01.02-focus_of_the_course.mkv
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02.01-human_activity_recognition.mkv
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02.02-image_captioning.mkv
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02.03-machine_translation.mkv
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02.04-speech_recognition.mkv
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02.05-stock_price_predictions.mkv
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02.06-when_to_model_rnn.mkv
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02.07-activity.mkv
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03.01-introduction_to_deep_learning_module.mkv
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03.02-neuron_and_perception.mkv
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03.03-dnn_architecture.mkv
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03.04-feedforward_fullyconnected_mlp.mkv
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03.05-calculating_number_of_weights_of_dnn.mkv
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03.06-number_of_neurons_versus_number_of_layers.mkv
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03.07-discriminative_versus_generative_learning.mkv
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03.08-universal_approximation_theorem.mkv
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03.09-why_depth.mkv
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03.10-decision_boundary_in_dnn.mkv
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03.11-bias_term.mkv
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03.12-activation_function.mkv
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03.13-dnn_training_parameters.mkv
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03.14-gradient_descent.mkv
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03.15-backpropagation.mkv
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03.16-training_dnn_animation.mkv
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03.17-weight_initialization.mkv
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03.18-batch_minibatch_stocastic.mkv
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03.19-batch_normalization.mkv
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03.20-rprop_momentum.mkv
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03.21-convergence_animation.mkv
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03.22-dropout_earlystopping_hyperparameters.mkv
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04.01-introduction.mkv
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04.02-fixed_length_memory_model.mkv
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04.03-infinite_memory_architecture.mkv
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04.04-weight_sharing.mkv
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04.08-one-to-many_model.mkv
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04.09-activity_many-to-one.mkv
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04.10-many-to-many_different_sizes_model.mkv
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04.13-deep_rnns.mkv
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05.01-introduction.mkv
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05.02-example_setup.mkv
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05.05-why_gradients.mkv
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05.06-chain_rule.mkv
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05.07-chain_rule_in_action.mkv
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05.08-backpropagation_through_time.mkv
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05.09-activity.mkv
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06.01-introduction_to_a_better_rnn_module.mkv
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06.02-introduction_to_vanishing_gradients_in_rnn.mkv
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148,621,506 |
30DEEBE4 |
06.03-gated_recurrent_unit_(gru).mkv
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06.04-gated_recurrent_unit_(gru)_equations.mkv
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06.05-long_short_term_memory_(lstm).mkv
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06.06-long_short_term_memory_(lstm)_equations.mkv
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06.07-bidirectional_recurrent_neural_networks.mkv
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06.08-attention_model.mkv
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06.09-attention_model_equation.mkv
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07.01-introduction.mkv
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07.02-tensorflow_text_classification_example_using_rnns.mkv
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08.01-introduction.mkv
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08.02-data_mapping.mkv
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08.03-modelling_rnn_architecture.mkv
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08.04-modelling_rnn_model_in_tensorflow.mkv
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08.05-modelling_rnn_model_training.mkv
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08.06-modelling_rnn_model_text_generation.mkv
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08.07-activity.mkv
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09.01-problem_statement.mkv
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09.02-dataset.mkv
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09.03-data_preparation.mkv
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09.04-rnn_model_training_and_evaluation.mkv
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09.05-activity.mkv
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10.01-further_reading_and_resources.mkv
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218,032,008 |
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9781801079167_Code.zip |
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